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Posted to commits@predictionio.apache.org by gi...@apache.org on 2018/09/20 19:08:28 UTC
[01/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Repository: predictionio-site
Updated Branches:
refs/heads/asf-site 0b09b57d7 -> 9fe018b6a
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/similarproduct/quickstart/index.html
----------------------------------------------------------------------
diff --git a/templates/similarproduct/quickstart/index.html b/templates/similarproduct/quickstart/index.html
index 532b26a..7240ee3 100644
--- a/templates/similarproduct/quickstart/index.html
+++ b/templates/similarproduct/quickstart/index.html
@@ -32,7 +32,7 @@ Your system is all ready to go.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
-</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data for the app of this Engine. By default, the Similar Product Engine Template supports 2 types of entities: <strong>user</strong> and <strong>item</strong>, and event <strong>view</strong>. An item has the <strong>categories</strong> property, which is a list of category names (String). A user can view an item. Respectively, this template requires '$set' user event, '$set' item event, and user-view-item events.</p><div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>buy</em>, <em>rate</em> and <em>like</em>.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more detai
ls how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when a new user with id "u0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for this user. To send this event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-2b39b33f-4b82-4819-9c47-74b1bfe2ad18">REST API</a></li> <li data-lang="python"><a href="#tab-2d51424a-7b
c8-4d3a-a82d-0c1425cec395">Python SDK</a></li> <li data-lang="php"><a href="#tab-a4f5839b-6273-4215-aeb8-e6050fca6ccb">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-06c6ead6-b0a7-42fb-b6e5-a90edde17766">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-cec5669a-e265-4141-bf08-2e44821d71f9">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-2b39b33f-4b82-4819-9c47-74b1bfe2ad18"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data for the app of this Engine. By default, the Similar Product Engine Template supports 2 types of entities: <strong>user</strong> and <strong>item</strong>, and event <strong>view</strong>. An item has the <strong>categories</strong> property, which is a list of category names (String). A user can view an item. Respectively, this template requires '$set' user event, '$set' item event, and user-view-item events.</p><div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>buy</em>, <em>rate</em> and <em>like</em>.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more detai
ls how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when a new user with id "u0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for this user. To send this event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-7dd3f7e3-1863-4fe6-ab7b-918c32b5f71c">REST API</a></li> <li data-lang="python"><a href="#tab-0737729a-00
3f-40e2-8434-2b8b684ebd8a">Python SDK</a></li> <li data-lang="php"><a href="#tab-e31430b3-81b5-4e0e-894e-9bf65895bd9f">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-268f02b7-3e99-4a3a-8f55-b52f8c0e9976">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-5009de1f-f5e2-4e7d-9d1c-845aaa8b28e6">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-7dd3f7e3-1863-4fe6-ab7b-918c32b5f71c"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -47,7 +47,7 @@ Your system is all ready to go.
"entityId" : "u0",
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-2d51424a-7bc8-4d3a-a82d-0c1425cec395"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-0737729a-003f-40e2-8434-2b8b684ebd8a"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -86,7 +86,7 @@ Your system is all ready to go.
<span class="n">event_time</span><span class="o">=</span><span class="n">datetime</span><span class="p">(</span>
<span class="mi">2014</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mo">02</span><span class="p">,</span> <span class="mi">09</span><span class="p">,</span> <span class="mi">39</span><span class="p">,</span> <span class="mi">45</span><span class="p">,</span> <span class="mi">618000</span><span class="p">,</span> <span class="n">pytz</span><span class="o">.</span><span class="n">timezone</span><span class="p">(</span><span class="s">'US/Pacific'</span><span class="p">)</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-a4f5839b-6273-4215-aeb8-e6050fca6ccb"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-e31430b3-81b5-4e0e-894e-9bf65895bd9f"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -111,7 +111,7 @@ Your system is all ready to go.
<span class="s1">'entityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">USER</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-06c6ead6-b0a7-42fb-b6e5-a90edde17766"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-268f02b7-3e99-4a3a-8f55-b52f8c0e9976"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -128,7 +128,7 @@ Your system is all ready to go.
<span class="s1">'user'</span><span class="p">,</span>
<span class="o"><</span><span class="no">USER</span> <span class="no">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-cec5669a-e265-4141-bf08-2e44821d71f9"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-5009de1f-f5e2-4e7d-9d1c-845aaa8b28e6"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -153,7 +153,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">entityType</span><span class="o">(</span><span class="s">"user"</span><span class="o">)</span>
<span class="o">.</span><span class="na">entityId</span><span class="o">(<</span><span class="n">USER_ID</span><span class="o">>);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">userEvent</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a new item "i0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for the item. Note that the item is set with categories properties: <code>"c1"</code> and <code>"c2"</code>. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-3ab5cc25-371f-4db8-bbce-ff5b3a686268">REST API</a></li> <li data-lang="python"><a href="#tab-cc262c56-91cd-48b1-851d-a55a729cf594">Python SDK</a></li> <li data-lang="php"><a href="#tab-4f6d39d0-c138-4b0a-b150-e945ba62015a">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-c064a30b-cf9c-444f-bb9c-1f7550cf2e46">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-891c46b1-d783-4fc1-a7f7-b714dd42a5df">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-3ab5cc
25-371f-4db8-bbce-ff5b3a686268"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a new item "i0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for the item. Note that the item is set with categories properties: <code>"c1"</code> and <code>"c2"</code>. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-b8b08c24-3861-4c68-8196-dd349d933463">REST API</a></li> <li data-lang="python"><a href="#tab-dc2baea2-f472-4170-8867-bf9234e56d22">Python SDK</a></li> <li data-lang="php"><a href="#tab-d25e7708-ba78-4d45-8ceb-92184396d202">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-a205da60-2975-44fa-b692-371483a90653">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-a6f492e3-03c6-4627-8567-772c31632118">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-b8b08c
24-3861-4c68-8196-dd349d933463"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -174,7 +174,7 @@ Your system is all ready to go.
}
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-cc262c56-91cd-48b1-851d-a55a729cf594"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-dc2baea2-f472-4170-8867-bf9234e56d22"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -193,7 +193,7 @@ Your system is all ready to go.
<span class="s">"categories"</span> <span class="p">:</span> <span class="p">[</span><span class="s">"<CATEGORY_1>"</span><span class="p">,</span> <span class="s">"<CATEGORY_2>"</span><span class="p">]</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-4f6d39d0-c138-4b0a-b150-e945ba62015a"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-d25e7708-ba78-4d45-8ceb-92184396d202"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -214,7 +214,7 @@ Your system is all ready to go.
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-c064a30b-cf9c-444f-bb9c-1f7550cf2e46"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-a205da60-2975-44fa-b692-371483a90653"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -231,7 +231,7 @@ Your system is all ready to go.
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-891c46b1-d783-4fc1-a7f7-b714dd42a5df"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-a6f492e3-03c6-4627-8567-772c31632118"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -244,7 +244,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">entityId</span><span class="o">(<</span><span class="n">ITEM_ID</span><span class="o">>)</span>
<span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"categories"</span><span class="o">,</span> <span class="n">ImmutableList</span><span class="o">.</span><span class="na">of</span><span class="o">(</span><span class="s">"<CATEGORY_1>"</span><span class="o">,</span> <span class="s">"<CATEGORY_2>"</span><span class="o">));</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">itemEvent</span><span class="o">)</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>When the user "u0" view item "i0" on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-ae6bea39-bb41-46ad-93a0-0a91a5322cfa">REST API</a></li> <li data-lang="python"><a href="#tab-57018aca-91b3-469e-b1d0-0ea3fe3c7588">Python SDK</a></li> <li data-lang="php"><a href="#tab-f2c17f6f-b4b2-4a37-a63a-dc10996bae27">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-42b5229d-61f6-4440-8e73-131b2a58da8d">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-51e23cd3-96e3-4a77-ac07-98c4bb31cf1e">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-ae6bea39-bb41-46ad-93a0-0a91a5322cfa"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text
-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>When the user "u0" view item "i0" on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-daaf6f75-8c9f-4a74-bd94-06c562bf6684">REST API</a></li> <li data-lang="python"><a href="#tab-88053ad4-1118-43e6-b536-1d7c6a90100a">Python SDK</a></li> <li data-lang="php"><a href="#tab-fd46d144-b7d0-4f02-923a-307656ee0ca1">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-e7b32bd1-d6e8-4154-8ef7-5275bd89dc70">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-5b5548bb-c6f5-4f1a-955a-b93b8a69bbc4">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-daaf6f75-8c9f-4a74-bd94-06c562bf6684"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text
-align: right"><pre class="lineno">1
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@@ -263,7 +263,7 @@ Your system is all ready to go.
"targetEntityId" : "i0",
"eventTime" : "2014-11-10T12:34:56.123-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-57018aca-91b3-469e-b1d0-0ea3fe3c7588"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-88053ad4-1118-43e6-b536-1d7c6a90100a"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -280,7 +280,7 @@ Your system is all ready to go.
<span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-f2c17f6f-b4b2-4a37-a63a-dc10996bae27"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-fd46d144-b7d0-4f02-923a-307656ee0ca1"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -299,7 +299,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-42b5229d-61f6-4440-8e73-131b2a58da8d"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-e7b32bd1-d6e8-4154-8ef7-5275bd89dc70"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -316,7 +316,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">></span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-51e23cd3-96e3-4a77-ac07-98c4bb31cf1e"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-5b5548bb-c6f5-4f1a-955a-b93b8a69bbc4"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -376,19 +376,19 @@ User u10 views item i29
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve predicted results. To retrieve 4 items which are similar to item ID "i1". You send this JSON <code>{ "items": ["i1"], "num": 4 }</code> to the deployed engine and it will return a JSON of the recommended items. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control
"> <li data-lang="json"><a href="#tab-efdbd9f9-1fb2-4257-9bfa-df3b07111253">REST API</a></li> <li data-lang="python"><a href="#tab-053feaef-7d60-4309-a48b-601ee8fb308d">Python SDK</a></li> <li data-lang="php"><a href="#tab-f1171e80-8503-4912-ab4e-3d8193e638a0">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-0bc54bd3-13af-48e5-9f47-e1531d5d8249">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-45cca626-f6a3-4f06-92d0-7e6a832dc6d0">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-efdbd9f9-1fb2-4257-9bfa-df3b07111253"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve predicted results. To retrieve 4 items which are similar to item ID "i1". You send this JSON <code>{ "items": ["i1"], "num": 4 }</code> to the deployed engine and it will return a JSON of the recommended items. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control
"> <li data-lang="json"><a href="#tab-6743571a-3044-413c-84de-3f7f484a831c">REST API</a></li> <li data-lang="python"><a href="#tab-14e6ac0f-0c4f-4f9e-b656-a6dba1cebbb4">Python SDK</a></li> <li data-lang="php"><a href="#tab-7d52fac7-992f-4332-87d0-821adb786d19">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-6f4f7902-5320-41a1-8968-25fdf05011b5">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-75c190e6-4d32-4949-8b7a-c5e597bd78cb">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-6743571a-3044-413c-84de-3f7f484a831c"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{ "items": ["i1"], "num": 4 }'</span> <span class="se">\</span>
http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-053feaef-7d60-4309-a48b-601ee8fb308d"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-14e6ac0f-0c4f-4f9e-b656-a6dba1cebbb4"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">predictionio</span>
<span class="n">engine_client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EngineClient</span><span class="p">(</span><span class="n">url</span><span class="o">=</span><span class="s">"http://localhost:8000"</span><span class="p">)</span>
<span class="k">print</span> <span class="n">engine_client</span><span class="o">.</span><span class="n">send_query</span><span class="p">({</span><span class="s">"items"</span><span class="p">:</span> <span class="p">[</span><span class="s">"i1"</span><span class="p">],</span> <span class="s">"num"</span><span class="p">:</span> <span class="mi">4</span><span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-f1171e80-8503-4912-ab4e-3d8193e638a0"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-7d52fac7-992f-4332-87d0-821adb786d19"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -407,7 +407,7 @@ http://localhost:8000/queries.json
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-0bc54bd3-13af-48e5-9f47-e1531d5d8249"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-6f4f7902-5320-41a1-8968-25fdf05011b5"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -420,7 +420,7 @@ http://localhost:8000/queries.json
<span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="nf">send_query</span><span class="p">(</span><span class="s1">'items'</span> <span class="o">=></span> <span class="p">[</span><span class="s1">'i1'</span><span class="p">],</span> <span class="s1">'num'</span> <span class="o">=></span> <span class="mi">4</span><span class="p">)</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-45cca626-f6a3-4f06-92d0-7e6a832dc6d0"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-75c190e6-4d32-4949-8b7a-c5e597bd78cb"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/vanilla/quickstart/index.html
----------------------------------------------------------------------
diff --git a/templates/vanilla/quickstart/index.html b/templates/vanilla/quickstart/index.html
index edf8ea8..bc2198b 100644
--- a/templates/vanilla/quickstart/index.html
+++ b/templates/vanilla/quickstart/index.html
@@ -54,17 +54,17 @@ Your system is all ready to go.
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. The engine accepts JSON query with the field 'q': <code>{ "q" : "foo" }</code>. A prefix is added to the query data and return as PredictedResult.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-86ef6c53-812c-45d2-94cc-9690c479484c">REST API</a></li> <li data-lang="python"><a href="#tab-0b2c30c6-0474-4b
b5-bb7d-7ad80e1724b7">Python SDK</a></li> <li data-lang="php"><a href="#tab-9470e6dc-c764-4031-bcc7-21afbc44b562">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-4b6f44de-84dd-4dee-9a44-2a3d8bd98ea5">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-c1d32e81-a3c9-4b8b-bc7b-90972f853e68">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-86ef6c53-812c-45d2-94cc-9690c479484c"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. The engine accepts JSON query with the field 'q': <code>{ "q" : "foo" }</code>. A prefix is added to the query data and return as PredictedResult.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-90119395-7e3b-4af2-918c-f66562180720">REST API</a></li> <li data-lang="python"><a href="#tab-50f262a5-bb22-4f
64-8b59-052759cb612f">Python SDK</a></li> <li data-lang="php"><a href="#tab-72bb10e5-4abe-4276-9e0f-3da6c529143e">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-de256802-2103-4726-9cea-f729ee2e1fc4">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-faa41ae9-68ea-46c8-8775-cdf452c23153">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-90119395-7e3b-4af2-918c-f66562180720"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{ "q": "foo" }'</span> http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-0b2c30c6-0474-4bb5-bb7d-7ad80e1724b7"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-50f262a5-bb22-4f64-8b59-052759cb612f"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">predictionio</span>
<span class="n">engine_client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EngineClient</span><span class="p">(</span><span class="n">url</span><span class="o">=</span><span class="s">"http://localhost:8000"</span><span class="p">)</span>
<span class="k">print</span> <span class="n">engine_client</span><span class="o">.</span><span class="n">send_query</span><span class="p">({</span> <span class="s">"q"</span><span class="p">:</span> <span class="s">"foo"</span> <span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-9470e6dc-c764-4031-bcc7-21afbc44b562"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-72bb10e5-4abe-4276-9e0f-3da6c529143e"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -83,7 +83,7 @@ Your system is all ready to go.
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-4b6f44de-84dd-4dee-9a44-2a3d8bd98ea5"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-de256802-2103-4726-9cea-f729ee2e1fc4"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -96,7 +96,7 @@ Your system is all ready to go.
<span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="nf">send_query</span><span class="p">(</span><span class="s1">'q'</span> <span class="o">=></span> <span class="s1">'foo'</span><span class="p">)</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-c1d32e81-a3c9-4b8b-bc7b-90972f853e68"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-faa41ae9-68ea-46c8-8775-cdf452c23153"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
[02/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/recommendation/quickstart/index.html
----------------------------------------------------------------------
diff --git a/templates/recommendation/quickstart/index.html b/templates/recommendation/quickstart/index.html
index 777ab45..eb01858 100644
--- a/templates/recommendation/quickstart/index.html
+++ b/templates/recommendation/quickstart/index.html
@@ -32,7 +32,7 @@ Your system is all ready to go.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
-</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data. By default, the Recommendation Engine Template supports 2 types of events: <strong>rate</strong> and <strong>buy</strong>. A user can give a rating score to an item or buy an item. This template requires user-view-item and user-buy-item events.</p><div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>like</em>, <em>dislike</em> etc.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><
p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <h3 id='example-<strong>rate</strong>-event' class='header-anchors' >Example <strong>rate</strong> event</h3><p>A user (ID "u0") gives an item (ID "i0") a rating of 5 at <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified)</p><p>Run the following <code>curl</code> command to send the <code>rate</code> event:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-06cb4bc5-62ac-4757-9bbf-95bec188ad31">REST API</a></li> <li data-lang="python"><a href="#tab-93b08341-c8ca-455c-9caa-f372930c514c">Python SDK</a></li> <li data-lang="php"><a href="#tab-36074cdd-1ddd-4a35-9650-813c4d0683c7">PHP
SDK</a></li> <li data-lang="ruby"><a href="#tab-05e938c1-52cf-4c26-b025-9945326be373">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-1534cc40-b709-47ce-947f-61d7eb66cf1a">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-06cb4bc5-62ac-4757-9bbf-95bec188ad31"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data. By default, the Recommendation Engine Template supports 2 types of events: <strong>rate</strong> and <strong>buy</strong>. A user can give a rating score to an item or buy an item. This template requires user-view-item and user-buy-item events.</p><div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>like</em>, <em>dislike</em> etc.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><
p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <h3 id='example-<strong>rate</strong>-event' class='header-anchors' >Example <strong>rate</strong> event</h3><p>A user (ID "u0") gives an item (ID "i0") a rating of 5 at <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified)</p><p>Run the following <code>curl</code> command to send the <code>rate</code> event:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-fd54f271-bb14-40f0-84aa-128b26434ae5">REST API</a></li> <li data-lang="python"><a href="#tab-c5c06992-c600-4a3b-bddd-cc4b43a445f6">Python SDK</a></li> <li data-lang="php"><a href="#tab-5038952e-6bc2-4e56-87cb-12c487d0ab2c">PHP
SDK</a></li> <li data-lang="ruby"><a href="#tab-ae48cb94-c363-44cb-99a2-2ed3bc072091">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-00e41adf-32cd-4f9e-84da-be59aacc0c2f">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-fd54f271-bb14-40f0-84aa-128b26434ae5"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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}
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
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<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span><span class="p">,</span>
<span class="n">properties</span><span class="o">=</span> <span class="p">{</span> <span class="s">"rating"</span> <span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="o"><</span><span class="n">RATING</span><span class="o">></span><span class="p">)</span> <span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-36074cdd-1ddd-4a35-9650-813c4d0683c7"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="s1">'properties'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'rating'</span><span class="o">=></span> <span class="o"><</span><span class="nx">RATING</span><span class="o">></span><span class="p">)</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-05e938c1-52cf-4c26-b025-9945326be373"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="p">}</span>
<span class="p">)</span>
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@@ -179,7 +179,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"rating"</span><span class="o">,</span> <span class="k">new</span> <span class="n">Float</span><span class="o">(<</span><span class="n">RATING</span><span class="o">>));</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">rateEvent</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <h3 id='example-<strong>buy</strong>-event' class='header-anchors' >Example <strong>buy</strong> event</h3><p>A user (ID "u1") buys an item (ID "i2") at <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified)</p><p>Run the following <code>curl</code> command to send the <code>buy</code> event:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-78c45178-e8c7-4962-ae83-a7a520930e1e">REST API</a></li> <li data-lang="python"><a href="#tab-db5490a0-18dd-4fca-a129-32cc991ffa2a">Python SDK</a></li> <li data-lang="php"><a href="#tab-026fbc6c-1e9a-459f-afb8-8729a28addc4">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-9814b4ba-191a-4859-8d3f-468a7d4ec2c5">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-31a9740a-483d-4100-b1db-a9c836285b36">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-78c45178-e8c7-4962-ae83-a7
a520930e1e"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <h3 id='example-<strong>buy</strong>-event' class='header-anchors' >Example <strong>buy</strong> event</h3><p>A user (ID "u1") buys an item (ID "i2") at <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified)</p><p>Run the following <code>curl</code> command to send the <code>buy</code> event:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-5ca15bb0-5fee-40df-8ca1-2840e262a028">REST API</a></li> <li data-lang="python"><a href="#tab-d891d669-e389-4832-ae82-a16198d83039">Python SDK</a></li> <li data-lang="php"><a href="#tab-dab74538-cb39-45d4-bda6-2d1c6b093e23">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-12c1229f-aa10-49f0-9a0d-ed2c5f27851f">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-ebc81a5b-b456-4177-9519-f24c7f300930">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-5ca15bb0-5fee-40df-8ca1-28
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"targetEntityId" : "i2",
"eventTime" : "2014-11-10T12:34:56.123-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-db5490a0-18dd-4fca-a129-32cc991ffa2a"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -213,7 +213,7 @@ Your system is all ready to go.
<span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-026fbc6c-1e9a-459f-afb8-8729a28addc4"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-dab74538-cb39-45d4-bda6-2d1c6b093e23"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -232,7 +232,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-9814b4ba-191a-4859-8d3f-468a7d4ec2c5"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-12c1229f-aa10-49f0-9a0d-ed2c5f27851f"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -249,7 +249,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">></span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-31a9740a-483d-4100-b1db-a9c836285b36"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-ebc81a5b-b456-4177-9519-f24c7f300930"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -297,17 +297,17 @@ Your system is all ready to go.
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. To recommend 4 movies to user whose id is 1, you send this JSON <code>{ "user": "1", "num": 4 }</code> to the deployed engine and it will return a JSON of the recommended movies. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang
="json"><a href="#tab-e6eea1a1-9e67-4225-aa5a-5b2cc738688b">REST API</a></li> <li data-lang="python"><a href="#tab-91c83059-83a6-45d3-94f1-c2b1076e473e">Python SDK</a></li> <li data-lang="php"><a href="#tab-d3f3b4e9-8044-4362-9785-0b9b783adf25">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-4e5dcdfe-b783-44b4-8027-24ce767abbf1">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-6a0d2be7-0659-45bd-9789-0123cd41a659">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-e6eea1a1-9e67-4225-aa5a-5b2cc738688b"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. To recommend 4 movies to user whose id is 1, you send this JSON <code>{ "user": "1", "num": 4 }</code> to the deployed engine and it will return a JSON of the recommended movies. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang
="json"><a href="#tab-92a2120b-7d92-4024-9fd5-f2a68eb21f61">REST API</a></li> <li data-lang="python"><a href="#tab-b6637d25-99ce-419b-b993-bc3b96bee887">Python SDK</a></li> <li data-lang="php"><a href="#tab-efb80db6-01fc-4aad-9957-fb7562aa0fd4">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-53863892-ebcf-45bf-aea9-13fd59be26a1">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-f2624419-f7a6-4742-8c69-7cffc6716663">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-92a2120b-7d92-4024-9fd5-f2a68eb21f61"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{ "user": "1", "num": 4 }'</span> http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-91c83059-83a6-45d3-94f1-c2b1076e473e"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-b6637d25-99ce-419b-b993-bc3b96bee887"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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3</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">predictionio</span>
<span class="n">engine_client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EngineClient</span><span class="p">(</span><span class="n">url</span><span class="o">=</span><span class="s">"http://localhost:8000"</span><span class="p">)</span>
<span class="k">print</span> <span class="n">engine_client</span><span class="o">.</span><span class="n">send_query</span><span class="p">({</span><span class="s">"user"</span><span class="p">:</span> <span class="s">"1"</span><span class="p">,</span> <span class="s">"num"</span><span class="p">:</span> <span class="mi">4</span><span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-d3f3b4e9-8044-4362-9785-0b9b783adf25"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-efb80db6-01fc-4aad-9957-fb7562aa0fd4"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -326,7 +326,7 @@ Your system is all ready to go.
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-4e5dcdfe-b783-44b4-8027-24ce767abbf1"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-53863892-ebcf-45bf-aea9-13fd59be26a1"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -339,7 +339,7 @@ Your system is all ready to go.
<span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="nf">send_query</span><span class="p">(</span><span class="s1">'user'</span> <span class="o">=></span> <span class="o"><</span><span class="no">USER</span> <span class="no">ID</span><span class="o">></span><span class="p">,</span> <span class="s1">'num'</span> <span class="o">=></span> <span class="o"><</span><span class="no">NUMBER</span> <span class="p">(</span><span class="n">integer</span><span class="p">)</span><span class="o">></span><span class="p">)</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-6a0d2be7-0659-45bd-9789-0123cd41a659"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-f2624419-f7a6-4742-8c69-7cffc6716663"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/similarproduct/dase/index.html
----------------------------------------------------------------------
diff --git a/templates/similarproduct/dase/index.html b/templates/similarproduct/dase/index.html
index 2378bae..048c925 100644
--- a/templates/similarproduct/dase/index.html
+++ b/templates/similarproduct/dase/index.html
@@ -503,7 +503,7 @@
<span class="n">numIterations</span><span class="k">:</span> <span class="kt">Int</span><span class="o">,</span>
<span class="n">lambda</span><span class="k">:</span> <span class="kt">Double</span><span class="o">,</span>
<span class="n">seed</span><span class="k">:</span> <span class="kt">Option</span><span class="o">[</span><span class="kt">Long</span><span class="o">])</span> <span class="k">extends</span> <span class="nc">Params</span>
-</pre></td></tr></tbody></table> </div> <p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different reuslts. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.trainImplicit()</code> then returns a <code>MatrixFactorizationModel</code> model which contains two RDDs: userFeatures and productFeatures. They correspond to the user X latent features matrix and item X latent features matrix, respectively. In this case, we will make use of the productFeatures matrix to find similar products by comparing the similarity of the latent features. Hence, we store this productFeatures as defined in <code>ALSModel</code> class:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gu
tter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different results. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.trainImplicit()</code> then returns a <code>MatrixFactorizationModel</code> model which contains two RDDs: userFeatures and productFeatures. They correspond to the user X latent features matrix and item X latent features matrix, respectively. In this case, we will make use of the productFeatures matrix to find similar products by comparing the similarity of the latent features. Hence, we store this productFeatures as defined in <code>ALSModel</code> class:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gu
tter gl" style="text-align: right"><pre class="lineno">1
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pan class="last">Multiple Events and Multiple Algorithms</span></li></ul></div><div id="page-title"><h1>Multiple Events and Multiple Algorithms</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/templates/similarproduct/multi-events-multi-algos.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">Similar Product</a><span class="spacer">></span></li><li><span class="last">Multiple Events and Multiple Algorithms</span></li></ul></div><div id="page-title"><h1>Multiple Events and Multiple Algorithms</h1></div></div><div class="content"> <p>This is more advanced example, we recommend you go through the <a href="/templates/similarproduct/dase/">DASE
</a> explanation first.</p><p>The <a href="/templates/similarproduct/dase/#algorithm">default algorithm described in DASE</a> uses user-to-item view events as training data. However, your application may have more than one type of events which you want to take into account, such as buy, rate and like events. One way to incorporate other types of events to improve the system is to add another algorithm to process these events, build a separated model and then combine the outputs of multiple algorithms during Serving.</p><p>In this example, we will add another algorithm to process like/dislike events. The final PredictedResults will be the combined outputs of both algorithms.</p><div class="alert-message note"><p>This is just one of the ways to handle multiple types of events. We use this use case to demonstrate how one can build an engine with multiple algorithms. You may also build one single algorithm which takes different events into account without using multiple algorithms.</p><
/div><p>This example will demonstrate the following:</p> <ul> <li>Read multiple types of events</li> <li>Use positive and negative implicit events such as like and dislike with MLlib ALS algorithm</li> <li>Integrate multiple algorithms into one engine</li> </ul> <p>The complete source code of this examlpe can be found in <a href="https://github.com/apache/predictionio/tree/develop/examples/scala-parallel-similarproduct/multi-events-multi-algos">here</a>.</p><h3 id='step-1.-read-"like"-and-"dislike"-events-as-trainingdata' class='header-anchors'>Step 1. Read "like" and "dislike" events as TrainingData</h3><p>Modify the following in DataSource.scala:</p> <ul> <li>In addition to the original <code>ViewEvent</code> class, add a new class <code>LikeEvent</code> which has a boolean <code>like</code> field to represent it's like or dislike event.</li> <li>Add a new field <code>likeEvents</code> into <code>TrainingData</code> class to store the <c
ode>RDD[LikeEvent]</code>.</li> <li>Modidy DataSource's <code>readTraining()</code> function to read "like" and "dislike" events from the Event Store.</li> </ul> <p>The modification is shown below:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+<!DOCTYPE html><html><head><title>Multiple Events and Multiple Algorithms</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Multiple Events and Multiple Algorithms"/><link rel="canonical" href="https://predictionio.apache.org/templates/similarproduct/multi-events-multi-algos/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5
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ass="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase
/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a clas
s="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarp
roduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final active" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a
class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></l
i></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</
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></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">Similar Product</a><span class="spacer">></span></li><li><s
pan class="last">Multiple Events and Multiple Algorithms</span></li></ul></div><div id="page-title"><h1>Multiple Events and Multiple Algorithms</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/templates/similarproduct/multi-events-multi-algos.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">Similar Product</a><span class="spacer">></span></li><li><span class="last">Multiple Events and Multiple Algorithms</span></li></ul></div><div id="page-title"><h1>Multiple Events and Multiple Algorithms</h1></div></div><div class="content"> <p>This is more advanced example, we recommend you go through the <a href="/templates/similarproduct/dase/">DASE
</a> explanation first.</p><p>The <a href="/templates/similarproduct/dase/#algorithm">default algorithm described in DASE</a> uses user-to-item view events as training data. However, your application may have more than one type of events which you want to take into account, such as buy, rate and like events. One way to incorporate other types of events to improve the system is to add another algorithm to process these events, build a separated model and then combine the outputs of multiple algorithms during Serving.</p><p>In this example, we will add another algorithm to process like/dislike events. The final PredictedResults will be the combined outputs of both algorithms.</p><div class="alert-message note"><p>This is just one of the ways to handle multiple types of events. We use this use case to demonstrate how one can build an engine with multiple algorithms. You may also build one single algorithm which takes different events into account without using multiple algorithms.</p><
/div><p>This example will demonstrate the following:</p> <ul> <li>Read multiple types of events</li> <li>Use positive and negative implicit events such as like and dislike with MLlib ALS algorithm</li> <li>Integrate multiple algorithms into one engine</li> </ul> <p>The complete source code of this example can be found in <a href="https://github.com/apache/predictionio/tree/develop/examples/scala-parallel-similarproduct/multi-events-multi-algos">here</a>.</p><h3 id='step-1.-read-"like"-and-"dislike"-events-as-trainingdata' class='header-anchors'>Step 1. Read "like" and "dislike" events as TrainingData</h3><p>Modify the following in DataSource.scala:</p> <ul> <li>In addition to the original <code>ViewEvent</code> class, add a new class <code>LikeEvent</code> which has a boolean <code>like</code> field to represent it's like or dislike event.</li> <li>Add a new field <code>likeEvents</code> into <code>TrainingData</code> class to store the <c
ode>RDD[LikeEvent]</code>.</li> <li>Modify DataSource's <code>readTraining()</code> function to read "like" and "dislike" events from the Event Store.</li> </ul> <p>The modification is shown below:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -564,7 +564,7 @@
</span><span class="p">]</span><span class="w">
</span><span class="p">}</span><span class="w">
-</span></pre></td></tr></tbody></table> </div> <div class="alert-message info"><p>You may notice that the parameters of the new <code>"likealgo"</code> contains the same fields as <code>"als"</code>. It is just becasuse the <code>LikeAlgorithm</code> class extends the original <code>ALSAlgorithm</code> class and shares the same algorithm parameter class definition. If the other algorithm you add has its own parameter class, you just need to specify them inside its <code>params</code> field accordingly.</p></div><p>That's it! Now you have a engine configured with two algorithms.</p><h3 id='sample-data-with-"like"-and-"dislike"-events' class='header-anchors'>Sample data with "like" and "dislike" events</h3><p>For demonstration purpose, a sample import script is also provided for you to quickly test this engine. The script is modified from the original one used in <a href="/templates/similarproduct/quickstart/#import-more-
sample-data">Quick Start</a> with the addition of importing like and dislike events.</p><p>You could find the import script in <code>data/import_eventserver.py</code>.</p><p>Make sure you are under the App directory. Execute the following to import the data (Replace the value of access_key parameter with your <strong>Access Key</strong>):</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>python data/import_eventserver.py --access_key 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F
+</span></pre></td></tr></tbody></table> </div> <div class="alert-message info"><p>You may notice that the parameters of the new <code>"likealgo"</code> contains the same fields as <code>"als"</code>. It is just because the <code>LikeAlgorithm</code> class extends the original <code>ALSAlgorithm</code> class and shares the same algorithm parameter class definition. If the other algorithm you add has its own parameter class, you just need to specify them inside its <code>params</code> field accordingly.</p></div><p>That's it! Now you have a engine configured with two algorithms.</p><h3 id='sample-data-with-"like"-and-"dislike"-events' class='header-anchors'>Sample data with "like" and "dislike" events</h3><p>For demonstration purpose, a sample import script is also provided for you to quickly test this engine. The script is modified from the original one used in <a href="/templates/similarproduct/quickstart/#import-more-s
ample-data">Quick Start</a> with the addition of importing like and dislike events.</p><p>You could find the import script in <code>data/import_eventserver.py</code>.</p><p>Make sure you are under the App directory. Execute the following to import the data (Replace the value of access_key parameter with your <strong>Access Key</strong>):</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>python data/import_eventserver.py --access_key 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F
</pre></td></tr></tbody></table> </div> <div class="alert-message warning"><p>If you see error <strong>TypeError: <strong>init</strong>() got an unexpected keyword argument 'access_key'</strong>, please update the Python SDK to the latest version.</p></div><p>You are ready to run pio build, train and deploy as described in the <a href="/templates/similarproduct/quickstart/#5.-deploy-the-engine-as-a-service">Quick Start</a>.</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//st
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[06/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/complementarypurchase/quickstart/index.html
----------------------------------------------------------------------
diff --git a/templates/complementarypurchase/quickstart/index.html b/templates/complementarypurchase/quickstart/index.html
index e856e0c..43eceab 100644
--- a/templates/complementarypurchase/quickstart/index.html
+++ b/templates/complementarypurchase/quickstart/index.html
@@ -32,7 +32,7 @@ Your system is all ready to go.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
-</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect training data for this Engine. By default, Complementary Purchase Engine Template supports the following entities: <strong>user</strong>, <strong>item</strong>. A user buys an item. This template requires user-buy-item events.</p><p>Note that the engine requires correct buy event time being used in order to determine if the items being bought are in the same 'basket', which is configured by the 'basketWindow' parameter. Using an unreal event time for the buy events will cause an incorrect model. If you use SDK, the current time is used as event time by default.</p><div class="alert-message warning"><p>In particular, make sure correct event time is specified if you import data in batch (i.e. not in real time). If the event time is omitted, the SDK will use <strong>current time</strong> as event time which
is not the actual time of the buy event in this case!</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>When an user u0 buys item i0 on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a buy event. Run the following <code>curl</code> command:
</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-5fbbf61c-e20e-4acb-826d-d1487ef36bf1">REST API</a></li> <li data-lang="python"><a href="#tab-aac2be91-6c39-4fee-b507-206a4eb446d2">Python SDK</a></li> <li data-lang="php"><a href="#tab-37546e3a-9b13-4072-852f-4a053325547a">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-aaa32b91-010e-431d-8c87-3c018b7c58ca">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-d81828d2-800b-488a-b36b-7e601e0ee905">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-5fbbf61c-e20e-4acb-826d-d1487ef36bf1"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect training data for this Engine. By default, Complementary Purchase Engine Template supports the following entities: <strong>user</strong>, <strong>item</strong>. A user buys an item. This template requires user-buy-item events.</p><p>Note that the engine requires correct buy event time being used in order to determine if the items being bought are in the same 'basket', which is configured by the 'basketWindow' parameter. Using an unreal event time for the buy events will cause an incorrect model. If you use SDK, the current time is used as event time by default.</p><div class="alert-message warning"><p>In particular, make sure correct event time is specified if you import data in batch (i.e. not in real time). If the event time is omitted, the SDK will use <strong>current time</strong> as event time which
is not the actual time of the buy event in this case!</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>When an user u0 buys item i0 on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a buy event. Run the following <code>curl</code> command:
</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-0815596f-087b-4528-bc33-d3b1af2d753b">REST API</a></li> <li data-lang="python"><a href="#tab-054e3ced-b183-423b-8030-8e1cf25b1a47">Python SDK</a></li> <li data-lang="php"><a href="#tab-cad9c87c-4bd5-420f-a1bd-99ab3121bbaf">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-c268db04-f815-42c9-a2b1-dc2ad0ffb9c3">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-405d1652-00ea-42b7-81d3-e98a41560e5a">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-0815596f-087b-4528-bc33-d3b1af2d753b"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -51,7 +51,7 @@ Your system is all ready to go.
"targetEntityId" : "i0",
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-aac2be91-6c39-4fee-b507-206a4eb446d2"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-054e3ced-b183-423b-8030-8e1cf25b1a47"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -104,7 +104,7 @@ Your system is all ready to go.
<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span><span class="p">,</span>
<span class="n">event_time</span><span class="o">=<</span><span class="n">EVENT_TIME</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-37546e3a-9b13-4072-852f-4a053325547a"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-cad9c87c-4bd5-420f-a1bd-99ab3121bbaf"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -155,7 +155,7 @@ Your system is all ready to go.
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-aaa32b91-010e-431d-8c87-3c018b7c58ca"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-c268db04-f815-42c9-a2b1-dc2ad0ffb9c3"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -200,7 +200,7 @@ Your system is all ready to go.
<span class="s1">'eventTime'</span> <span class="o">=></span> <span class="o"><</span><span class="no">EVENT_TIME</span><span class="o">></span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-d81828d2-800b-488a-b36b-7e601e0ee905"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-405d1652-00ea-42b7-81d3-e98a41560e5a"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -250,7 +250,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">eventTime</span><span class="o">(<</span><span class="n">EVENT_TIME</span><span class="o">>)</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">buyEvent</span><span class="o">);</span>
</pre></td> </tr></tbody></table> </div> </div> </div> <p><h3 id='query-event-server' class='header-anchors'>Query Event Server</h3><p>Now let's query the EventServer and see if these events are imported successfully.</p><p>Go to following URL with your browser:</p><p><code><a href="http://localhost:7070/events.json?accessKey=&lt;YOUR_ACCESS_KEY">http://localhost:7070/events.json?accessKey=&lt;YOUR_ACCESS_KEY</a>></code></p><p>or run the following command in terminal:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>curl -i -X GET <span class="s2">"<a href="http://localhost:7070/events.json?accessKey=">http://localhost:7070/events.json?accessKey=</a></span><span class="nv">$ACCESS_KEY</span><span class="s2">"</span>
-</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>Note that you should quote the entire URL by using single or double quotes when you run the <code>curl</code> command.</p></div><p>It should return the imported events in JSON format. You can refer to <a href="/datacollection/eventapi/#debugging-recipes">Event Server Debugging Recipes</a> for more different ways to query Event Server.</p></p><h3 id='import-more-sample-data' class='header-anchors'>Import More Sample Data</h3> <p>This engine requires more data in order to train a useful model. Instead of sending more events one by one in real time, for quickstart demonstration purpose, we are going to use a script to import more events in batch.</p> <p>A Python import script <code>import_eventserver.py</code> is provided to import sample data. The script generates some frequent item sets (prefix with "s"), some other random items (prefix with "i") and a few popular items (prefix with "p
"). Then each user (with user ID "u1" to "u10") performs 5 buy transactions (buy events are within 10 seconds in each transcation). In each transcation, the user may or may not buy some random items, always buy one of the popular items and buy 2 or more items in one of the frequent item sets.</p> <p>First, you will need to install Python SDK in order to run the sample data import script. To install Python SDK, run:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pip install predictionio
+</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>Note that you should quote the entire URL by using single or double quotes when you run the <code>curl</code> command.</p></div><p>It should return the imported events in JSON format. You can refer to <a href="/datacollection/eventapi/#debugging-recipes">Event Server Debugging Recipes</a> for more different ways to query Event Server.</p></p><h3 id='import-more-sample-data' class='header-anchors'>Import More Sample Data</h3> <p>This engine requires more data in order to train a useful model. Instead of sending more events one by one in real time, for quickstart demonstration purpose, we are going to use a script to import more events in batch.</p> <p>A Python import script <code>import_eventserver.py</code> is provided to import sample data. The script generates some frequent item sets (prefix with "s"), some other random items (prefix with "i") and a few popular items (prefix with "p
"). Then each user (with user ID "u1" to "u10") performs 5 buy transactions (buy events are within 10 seconds in each transaction). In each transaction, the user may or may not buy some random items, always buy one of the popular items and buy 2 or more items in one of the frequent item sets.</p> <p>First, you will need to install Python SDK in order to run the sample data import script. To install Python SDK, run:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pip install predictionio
</pre></td></tr></tbody></table> </div> <p>or</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>easy_install predictionio
</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>You may need <code>sudo</code> access if you have permission issue. (ie. <code>sudo pip install predictionio</code>)</p></div> <p><a href="#"></a></p> <p>Make sure you are under the <code>MyComplementaryPurchase</code> directory. Execute the following to import the data:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="gp">$ </span><span class="nb">cd </span>MyComplementaryPurchase
@@ -290,7 +290,7 @@ User u10 buys item s2i1 at 2014-10-19 15:43:15.618000-07:53
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can query the engine. For example, return top 3 items which are frequently bought with item "s2i1". You can sending this JSON '{ "items" : ["s2i1"], "num" : 3 }' to the deployed engine. The engine will return a JSON with the recommended items.</p><p>If you include one or more items in the query, the engine will use each combination of the query items as condition, and return recommended items if there is any for this condition. For example, if you query items are ["A", "B&q
uot;], then the engine will use ["A"], ["B"], and ["A", "B"] as condition and try to find top n recommended items for each combination.</p><p>You can simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-57403196-e4cb-4b65-965a-640c9a4b64b8">REST API</a></li> <li data-lang="python"><a href="#tab-c2df4a5b-b4d4-4f5e-a6b1-4e8d6698fed7">Python SDK</a></li> <li data-lang="php"><a href="#tab-0f9425b4-e145-4491-a9bc-6bfba4b6f990">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-3b361289-52a1-4a8c-b5f4-09fa14327374">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-6ad8485a-9e12-4d17-a2d8-71c095eaafb0">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-57403196-e4cb-
4b65-965a-640c9a4b64b8"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can query the engine. For example, return top 3 items which are frequently bought with item "s2i1". You can sending this JSON '{ "items" : ["s2i1"], "num" : 3 }' to the deployed engine. The engine will return a JSON with the recommended items.</p><p>If you include one or more items in the query, the engine will use each combination of the query items as condition, and return recommended items if there is any for this condition. For example, if you query items are ["A", "B&q
uot;], then the engine will use ["A"], ["B"], and ["A", "B"] as condition and try to find top n recommended items for each combination.</p><p>You can simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-8c455c80-2f61-4e1c-89b1-f6024704d8cc">REST API</a></li> <li data-lang="python"><a href="#tab-60180116-078e-448f-af6a-74833ee6d5ec">Python SDK</a></li> <li data-lang="php"><a href="#tab-c59c455d-e7f1-4c00-bfb5-cff5cb852ba5">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-fb4182f1-4994-420e-a344-289089184e1e">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-31c3b80c-9336-45ab-981d-466d9c759e93">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-8c455c80-2f61-
4e1c-89b1-f6024704d8cc"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -303,7 +303,7 @@ User u10 buys item s2i1 at 2014-10-19 15:43:15.618000-07:53
}'</span> <span class="se">\</span>
http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-c2df4a5b-b4d4-4f5e-a6b1-4e8d6698fed7"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-60180116-078e-448f-af6a-74833ee6d5ec"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -314,7 +314,7 @@ http://localhost:8000/queries.json
<span class="s">"items"</span> <span class="p">:</span> <span class="p">[</span><span class="s">"s2i1"</span><span class="p">],</span>
<span class="s">"num"</span> <span class="p">:</span> <span class="mi">3</span>
<span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-0f9425b4-e145-4491-a9bc-6bfba4b6f990"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-c59c455d-e7f1-4c00-bfb5-cff5cb852ba5"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -341,7 +341,7 @@ http://localhost:8000/queries.json
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-3b361289-52a1-4a8c-b5f4-09fa14327374"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-fb4182f1-4994-420e-a344-289089184e1e"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -360,7 +360,7 @@ http://localhost:8000/queries.json
<span class="p">)</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-6ad8485a-9e12-4d17-a2d8-71c095eaafb0"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-31c3b80c-9336-45ab-981d-466d9c759e93"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -389,7 +389,7 @@ http://localhost:8000/queries.json
<span class="s">"items"</span><span class="o">,</span> <span class="n">ImmutableList</span><span class="o">.</span><span class="na">of</span><span class="o">(</span><span class="s">"s2i1"</span><span class="o">),</span>
<span class="s">"num"</span><span class="o">,</span> <span class="mi">3</span>
<span class="o">));</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>The following is sample JSON response. The <code>cond</code> field is one of the combination of query items used as condition to determine other frequently bought items with this condition, followed by top items. If there are multiple conditions with recommended items found, the <code>rules</code> array will contain mutliple elements, and each correspond to the condition.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>The following is sample JSON response. The <code>cond</code> field is one of the combination of query items used as condition to determine other frequently bought items with this condition, followed by top items. If there are multiple conditions with recommended items found, the <code>rules</code> array will contain multiple elements, and each correspond to the condition.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/ecommercerecommendation/dase/index.html
----------------------------------------------------------------------
diff --git a/templates/ecommercerecommendation/dase/index.html b/templates/ecommercerecommendation/dase/index.html
index 8ab46e3..5fabb87 100644
--- a/templates/ecommercerecommendation/dase/index.html
+++ b/templates/ecommercerecommendation/dase/index.html
@@ -138,7 +138,7 @@
<span class="o">}</span>,
...
<span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>In <code>readTraining()</code>, <code>PEventStore</code> is an object which provides function to access dataa that is collected by PredictionIO Event Server.</p><p>This E-Commerce Recommendation Engine Template requires "user" and "item" entities that are set by events.</p><p><code>PEventStore.aggregateProperties(...)</code> aggregates properties of the <code>user</code> and <code>item</code> that are set, unset, or delete by special events <strong>$set</strong>, <strong>$unset</strong> and <strong>$delete</strong>. Please refer to <a href="/datacollection/eventapi/#note-about-properties">Event API</a> for more details of using these events.</p><p>The following code aggregates the properties of <code>user</code> and then map each result to a <code>User()</code> object.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>In <code>readTraining()</code>, <code>PEventStore</code> is an object which provides function to access data that is collected by PredictionIO Event Server.</p><p>This E-Commerce Recommendation Engine Template requires "user" and "item" entities that are set by events.</p><p><code>PEventStore.aggregateProperties(...)</code> aggregates properties of the <code>user</code> and <code>item</code> that are set, unset, or delete by special events <strong>$set</strong>, <strong>$unset</strong> and <strong>$delete</strong>. Please refer to <a href="/datacollection/eventapi/#note-about-properties">Event API</a> for more details of using these events.</p><p>The following code aggregates the properties of <code>user</code> and then map each result to a <code>User()</code> object.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -361,7 +361,7 @@
<span class="n">lambda</span><span class="k">:</span> <span class="kt">Double</span><span class="o">,</span>
<span class="n">seed</span><span class="k">:</span> <span class="kt">Option</span><span class="o">[</span><span class="kt">Long</span><span class="o">]</span>
<span class="o">)</span> <span class="k">extends</span> <span class="nc">Params</span>
-</pre></td></tr></tbody></table> </div> <p>Parameter description:</p> <ul> <li><strong>appName</strong>: Your App name. Events defined by "seenEvents" and "similarEvents" will be read from this app during <code>predict</code>.</li> <li><strong>unseenOnly</strong>: true or false. Set to true if you want to recommmend unseen items only. Seen items are defined by <em>seenEvents</em> which mean if the user has these events on the items, then it's treated as <em>seen</em>.</li> <li><strong>seenEvents</strong>: A list of user-to-item events which will be treated as <em>seen</em> events. Used when <em>unseenOnly</em> is set to true.</li> <li><strong>similarEvents</strong>: A list of user-item-item events which will be used to find similar items to the items which the user has performend these events on.</li> <li><strong>rank</strong>: Parameter of the MLlib ALS algorithm. Number of latent features.</li> <li><strong>numIterations</strong>: Parameter of the MLlib ALS
algorithm. Number of iterations.</li> <li><strong>lambda</strong>: Regularization parameter of the MLlib ALS algorithm.</li> <li><strong>seed</strong>: Optional. A random seed of the MLlib ALS algorithm. Specify a fixed value if want to have deterministic result.</li> </ul> <h3 id='train(...)' class='header-anchors'>train(...)</h3><p><code>train</code> is called when you run <strong>pio train</strong>. This is where MLlib ALS algorithm, i.e. <code>ALS.trainImplicit()</code>, is used to train a predictive model. In addition, we also count the number of items being bought for each item as default model which will be used when there is no ALS model available or other useful information about the user is available during <code>predict</code>.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Parameter description:</p> <ul> <li><strong>appName</strong>: Your App name. Events defined by "seenEvents" and "similarEvents" will be read from this app during <code>predict</code>.</li> <li><strong>unseenOnly</strong>: true or false. Set to true if you want to recommend unseen items only. Seen items are defined by <em>seenEvents</em> which mean if the user has these events on the items, then it's treated as <em>seen</em>.</li> <li><strong>seenEvents</strong>: A list of user-to-item events which will be treated as <em>seen</em> events. Used when <em>unseenOnly</em> is set to true.</li> <li><strong>similarEvents</strong>: A list of user-item-item events which will be used to find similar items to the items which the user has performed these events on.</li> <li><strong>rank</strong>: Parameter of the MLlib ALS algorithm. Number of latent features.</li> <li><strong>numIterations</strong>: Parameter of the MLlib ALS al
gorithm. Number of iterations.</li> <li><strong>lambda</strong>: Regularization parameter of the MLlib ALS algorithm.</li> <li><strong>seed</strong>: Optional. A random seed of the MLlib ALS algorithm. Specify a fixed value if want to have deterministic result.</li> </ul> <h3 id='train(...)' class='header-anchors'>train(...)</h3><p><code>train</code> is called when you run <strong>pio train</strong>. This is where MLlib ALS algorithm, i.e. <code>ALS.trainImplicit()</code>, is used to train a predictive model. In addition, we also count the number of items being bought for each item as default model which will be used when there is no ALS model available or other useful information about the user is available during <code>predict</code>.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -513,7 +513,7 @@
<span class="n">mllibRatings</span>
<span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>You can customize this function if you want to convert other events to MLlibRating or need different ways to aggreagte the events into MLlibRating.</p></div><p>In addition to <code>RDD[MLlibRating]</code>, <code>ALS.trainImplicit</code> takes the following parameters: <em>rank</em>, <em>iterations</em>, <em>lambda</em> and <em>seed</em>.</p><p>The values of these parameters are specified in <em>algorithms</em> of MyECommerceRecommendation/<strong><em>engine.json</em></strong>:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>You can customize this function if you want to convert other events to MLlibRating or need different ways to aggregate the events into MLlibRating.</p></div><p>In addition to <code>RDD[MLlibRating]</code>, <code>ALS.trainImplicit</code> takes the following parameters: <em>rank</em>, <em>iterations</em>, <em>lambda</em> and <em>seed</em>.</p><p>The values of these parameters are specified in <em>algorithms</em> of MyECommerceRecommendation/<strong><em>engine.json</em></strong>:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -550,7 +550,7 @@
<span class="o">]</span>
...
<span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>The parameters <code>appName</code>, <code>unseenOnly</code>, <code>seenEvents</code> and <code>similarEvents</code> are used during <code>predict()</code>, which will be explained later.</p><p>PredictionIO will automatically loads these values into the constructor <code>ap</code>, which has a corresponding case class <code>ECommAlgorithmParams</code>.</p><p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different reuslts. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.trainImplicit()</code> returns a <code>MatrixFactorizationModel</code> model which contains two RDDs: userFeatures and productFeatures. They correspond to the user X latent features matrix
and item X latent features matrix, respectively.</p><p>In addition to the latent feature vector, the item properties (e.g. categories) and popular count are also used during <code>predict()</code>. Hence, we also save these data along with the feature vector by joining them and then collect the data as local Map. Each item is represented by a <code>ProductModel</code> class, which cosists of the <code>item</code> information, <code>features</code> calculated by ALS, and <code>count</code> returned by <code>trainDefault()</code>.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>The parameters <code>appName</code>, <code>unseenOnly</code>, <code>seenEvents</code> and <code>similarEvents</code> are used during <code>predict()</code>, which will be explained later.</p><p>PredictionIO will automatically loads these values into the constructor <code>ap</code>, which has a corresponding case class <code>ECommAlgorithmParams</code>.</p><p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different results. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.trainImplicit()</code> returns a <code>MatrixFactorizationModel</code> model which contains two RDDs: userFeatures and productFeatures. They correspond to the user X latent features matrix
and item X latent features matrix, respectively.</p><p>In addition to the latent feature vector, the item properties (e.g. categories) and popular count are also used during <code>predict()</code>. Hence, we also save these data along with the feature vector by joining them and then collect the data as local Map. Each item is represented by a <code>ProductModel</code> class, which consists of the <code>item</code> information, <code>features</code> calculated by ALS, and <code>count</code> returned by <code>trainDefault()</code>.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -625,7 +625,7 @@
<span class="k">val</span> <span class="n">userStringIntMap</span><span class="k">:</span> <span class="kt">BiMap</span><span class="o">[</span><span class="kt">String</span>, <span class="kt">Int</span><span class="o">],</span>
<span class="k">val</span> <span class="n">itemStringIntMap</span><span class="k">:</span> <span class="kt">BiMap</span><span class="o">[</span><span class="kt">String</span>, <span class="kt">Int</span><span class="o">]</span>
<span class="o">)</span> <span class="k">extends</span> <span class="nc">Serializable</span> <span class="o">{</span> <span class="o">...</span> <span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>PredictionIO will automatically store the returned model after training, i.e. <code>ECommModel</code> in this example.</p><h3 id='predict(...)' class='header-anchors'>predict(...)</h3><p><code>predict</code> is called when you send a JSON query to <a href="http://localhost:8000/queries.json">http://localhost:8000/queries.json</a>. PredictionIO converts the query, such as <code>{ "user": "u1", "num": 4 }</code> to the <code>Query</code> class you defined previously.</p><p>We can use the userFeatures and productFeatures stored in ECommModel to calculate the scores of items for the user.</p><p>This template also supports additional business logic features, such as filtering items by categories, recommending items in the white list, excluding items in the black list, recommend unseen items only, and exclude unavaiable items defined in constraint event.</p><p>The <code>predict()</code> function does the following:</
p> <ol> <li>Convert the item in query's whilteList from string ID to integer index</li> <li>Get a list seen items by the user (defined by parmater <code>seenEvents</code>)</li> <li>Get the latest unavailableItems which is used to exclude unavailable items for all users</li> <li>Combine query's blackList, seenItems, and unavailableItems into a final black list of items to be excluded from recommendation.</li> <li>Get the user feature vector from the ECommModel.</li> <li>If there is feature vector for the user, recommend top N items based on the user feature and prodcut features.</li> <li>If there is no feature vector for the user, use the recent items acted by the user (defined by <code>similarEvents</code> parameter) to recommend similar items.</li> <li>If there is no recent <code>similarEvents</code> available for the user, popular items are then recommended (added in template version 0.4.0).</li> </ol> <p>Only items which satisfy the <code>isCandidate()</code> condition wi
ll be recommended. By default, the item can be recommended if:</p> <ul> <li>it belongs to one of the categories defined in query.</li> <li>it is one of the white list items if white list is defined.</li> <li>it is not in the black list.</li> </ul> <div class="alert-message info"><p>You can easily modify <code>isCandidate()</code> checking or related logic if you have different requirements or condition to determine if an item is a candidate item to be recommended.</p></div><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>PredictionIO will automatically store the returned model after training, i.e. <code>ECommModel</code> in this example.</p><h3 id='predict(...)' class='header-anchors'>predict(...)</h3><p><code>predict</code> is called when you send a JSON query to <a href="http://localhost:8000/queries.json">http://localhost:8000/queries.json</a>. PredictionIO converts the query, such as <code>{ "user": "u1", "num": 4 }</code> to the <code>Query</code> class you defined previously.</p><p>We can use the userFeatures and productFeatures stored in ECommModel to calculate the scores of items for the user.</p><p>This template also supports additional business logic features, such as filtering items by categories, recommending items in the white list, excluding items in the black list, recommend unseen items only, and exclude unavailable items defined in constraint event.</p><p>The <code>predict()</code> function does the following:<
/p> <ol> <li>Convert the item in query's whiteList from string ID to integer index</li> <li>Get a list seen items by the user (defined by parameter <code>seenEvents</code>)</li> <li>Get the latest unavailableItems which is used to exclude unavailable items for all users</li> <li>Combine query's blackList, seenItems, and unavailableItems into a final black list of items to be excluded from recommendation.</li> <li>Get the user feature vector from the ECommModel.</li> <li>If there is feature vector for the user, recommend top N items based on the user feature and product features.</li> <li>If there is no feature vector for the user, use the recent items acted by the user (defined by <code>similarEvents</code> parameter) to recommend similar items.</li> <li>If there is no recent <code>similarEvents</code> available for the user, popular items are then recommended (added in template version 0.4.0).</li> </ol> <p>Only items which satisfy the <code>isCandidate()</code> condition w
ill be recommended. By default, the item can be recommended if:</p> <ul> <li>it belongs to one of the categories defined in query.</li> <li>it is one of the white list items if white list is defined.</li> <li>it is not in the black list.</li> </ul> <div class="alert-message info"><p>You can easily modify <code>isCandidate()</code> checking or related logic if you have different requirements or condition to determine if an item is a candidate item to be recommended.</p></div><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -707,7 +707,7 @@
<span class="c1">// generate final blackList based on additional constraints
</span> <span class="k">val</span> <span class="n">finalBlackList</span><span class="k">:</span> <span class="kt">Set</span><span class="o">[</span><span class="kt">Int</span><span class="o">]</span> <span class="k">=</span> <span class="n">genBlackList</span><span class="o">(</span><span class="n">query</span> <span class="k">=</span> <span class="n">query</span><span class="o">)</span>
- <span class="c1">// convert seen Items list from String ID to interger Index
+ <span class="c1">// convert seen Items list from String ID to integer Index
</span> <span class="o">.</span><span class="n">flatMap</span><span class="o">(</span><span class="n">x</span> <span class="k">=></span> <span class="n">model</span><span class="o">.</span><span class="n">itemStringIntMap</span><span class="o">.</span><span class="n">get</span><span class="o">(</span><span class="n">x</span><span class="o">))</span>
<span class="c1">// look up user feature from model
[15/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/datacollection/batchimport/index.html
----------------------------------------------------------------------
diff --git a/datacollection/batchimport/index.html b/datacollection/batchimport/index.html
index 299392f..5bc0f36 100644
--- a/datacollection/batchimport/index.html
+++ b/datacollection/batchimport/index.html
@@ -7,7 +7,7 @@
</span><span class="p">{</span><span class="s2">"event"</span><span class="p">:</span><span class="s2">"rate"</span><span class="p">,</span><span class="s2">"entityType"</span><span class="p">:</span><span class="s2">"user"</span><span class="p">,</span><span class="s2">"entityId"</span><span class="p">:</span><span class="s2">"3"</span><span class="p">,</span><span class="s2">"targetEntityType"</span><span class="p">:</span><span class="s2">"item"</span><span class="p">,</span><span class="s2">"targetEntityId"</span><span class="p">:</span><span class="s2">"2"</span><span class="p">,</span><span class="s2">"properties"</span><span class="p">:{</span><span class="s2">"rating"</span><span class="p">:</span><span class="mf">1.0</span><span class="p">},</span><span class="s2">"eventTime"</span><span class="p">:</span><span class="s2">"2014-11-21T01:04:14.729Z"</span><span class="p">}</span><span class="w">
</span><span class="p">{</span><span class="s2">"event"</span><span class="p">:</span><span class="s2">"buy"</span><span class="p">,</span><span class="s2">"entityType"</span><span class="p">:</span><span class="s2">"user"</span><span class="p">,</span><span class="s2">"entityId"</span><span class="p">:</span><span class="s2">"3"</span><span class="p">,</span><span class="s2">"targetEntityType"</span><span class="p">:</span><span class="s2">"item"</span><span class="p">,</span><span class="s2">"targetEntityId"</span><span class="p">:</span><span class="s2">"7"</span><span class="p">,</span><span class="s2">"eventTime"</span><span class="p">:</span><span class="s2">"2014-11-21T01:04:14.735Z"</span><span class="p">}</span><span class="w">
</span><span class="p">{</span><span class="s2">"event"</span><span class="p">:</span><span class="s2">"buy"</span><span class="p">,</span><span class="s2">"entityType"</span><span class="p">:</span><span class="s2">"user"</span><span class="p">,</span><span class="s2">"entityId"</span><span class="p">:</span><span class="s2">"3"</span><span class="p">,</span><span class="s2">"targetEntityType"</span><span class="p">:</span><span class="s2">"item"</span><span class="p">,</span><span class="s2">"targetEntityId"</span><span class="p">:</span><span class="s2">"8"</span><span class="p">,</span><span class="s2">"eventTime"</span><span class="p">:</span><span class="s2">"2014-11-21T01:04:14.741Z"</span><span class="p">}</span><span class="w">
-</span></pre></td></tr></tbody></table> </div> <div class="alert-message warning"><p>Please make sure your import file does not contain any empty lines. Empty lines will be treated as a null object and will return an error during import.</p></div><h2 id='use-sdk-to-prepare-batch-input-file' class='header-anchors'>Use SDK to Prepare Batch Input File</h2><p>Some of the Apache PredictionIO SDKs also provides FileExporter client. You may use them to prepare the JSON file as described above. The FileExporter creates event in the same way as EventClient except that the events are written to a JSON file instead of being sent to EventSever. The written JSON file can then be used by batch import.</p><div class="tabs"> <ul class="control"> <li data-lang="php"><a href="#tab-be0bda0a-f9c6-41fc-8f7e-c4a40bed10d4">PHP SDK</a></li> <li data-lang="python"><a href="#tab-aa74be4e-1e29-427c-990f-2a33de0a4c85">Python SDK</a></li> <li data-lang="ruby"><a href="#tab-4014721b-61d2-42af-a720-5d88c9a83394">
Ruby SDK</a></li> <li data-lang="java"><a href="#tab-7f61e6f4-ed1f-4818-b73c-6aaf6e3fc995">Java SDK</a></li> </ul> <div data-tab="PHP SDK" data-lang="php" id="tab-be0bda0a-f9c6-41fc-8f7e-c4a40bed10d4"> (coming soon) </div> <div data-tab="Python SDK" data-lang="python" id="tab-aa74be4e-1e29-427c-990f-2a33de0a4c85"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</span></pre></td></tr></tbody></table> </div> <div class="alert-message warning"><p>Please make sure your import file does not contain any empty lines. Empty lines will be treated as a null object and will return an error during import.</p></div><h2 id='use-sdk-to-prepare-batch-input-file' class='header-anchors'>Use SDK to Prepare Batch Input File</h2><p>Some of the Apache PredictionIO SDKs also provides FileExporter client. You may use them to prepare the JSON file as described above. The FileExporter creates event in the same way as EventClient except that the events are written to a JSON file instead of being sent to EventSever. The written JSON file can then be used by batch import.</p><div class="tabs"> <ul class="control"> <li data-lang="php"><a href="#tab-dd40da8c-5f72-4ead-b857-8490662c15dd">PHP SDK</a></li> <li data-lang="python"><a href="#tab-361f01ce-7bbf-4831-b18a-01a91a2da4bf">Python SDK</a></li> <li data-lang="ruby"><a href="#tab-165fd3f9-5d24-4b27-b733-7493a82d480f">
Ruby SDK</a></li> <li data-lang="java"><a href="#tab-ec958936-a13a-4a12-b44b-35bba413622d">Java SDK</a></li> </ul> <div data-tab="PHP SDK" data-lang="php" id="tab-dd40da8c-5f72-4ead-b857-8490662c15dd"> (coming soon) </div> <div data-tab="Python SDK" data-lang="python" id="tab-361f01ce-7bbf-4831-b18a-01a91a2da4bf"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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@@ -58,7 +58,7 @@
<span class="c"># close the FileExporter when finish writing all events</span>
<span class="n">exporter</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-4014721b-61d2-42af-a720-5d88c9a83394"> (coming soon) </div> <div data-tab="Java SDK" data-lang="java" id="tab-7f61e6f4-ed1f-4818-b73c-6aaf6e3fc995"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="o">(</span><span class="n">coming</span> <span class="n">soon</span><span class="o">)</span>
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-165fd3f9-5d24-4b27-b733-7493a82d480f"> (coming soon) </div> <div data-tab="Java SDK" data-lang="java" id="tab-ec958936-a13a-4a12-b44b-35bba413622d"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="o">(</span><span class="n">coming</span> <span class="n">soon</span><span class="o">)</span>
</pre></td> </tr></tbody></table> </div> </div> </div> <h2 id='import-events-from-input-file' class='header-anchors'>Import Events from Input File</h2><p>Importing events from a file can be done easily using the command line interface. Assuming that <code>pio</code> be in your search path, your App ID be <code>123</code>, and the input file <code>my_events.json</code> be in your current working directory:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio import --appid 123 --input my_events.json
</pre></td></tr></tbody></table> </div> <p>After a brief while, the tool should return to the console without any error. Congratulations! You have successfully imported your events.</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/cont
ribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscribe@predictionio.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images/logos/logo-white-d1e9c6e6.png"/><span>®</span></div><div id="socia
l-icons-wrapper"><a class="github-button" href="https://github.com/apache/predictionio" data-icon="octicon-star" data-show-count="true" aria-label="Star apache/predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/predictionio/fork" data-icon="octicon-repo-forked" data-show-count="true" aria-label="Fork apache/predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js"></script><a href="https://twitter.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="https://www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5c57939c.png"/></a> </div></div></div></div></div></footer></div><script>(function(w,d,t,u,n,s,e){w['SwiftypeObject']=n;w[n]=w[n]||function(){
(w[n].q=w[n].q||[]).push(arguments);};s=d.createElement(t);
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/datacollection/channel/index.html
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diff --git a/datacollection/channel/index.html b/datacollection/channel/index.html
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--- a/datacollection/channel/index.html
+++ b/datacollection/channel/index.html
@@ -12,7 +12,7 @@
[INFO] [App$] Channel Name: myChannel
[INFO] [App$] Channel ID: 2
[INFO] [App$] App ID: 5
-</span></pre></td></tr></tbody></table> </div> <p>Now "myChannel" is created and ready for collecting data.</p><h2 id='collect-data-through-channel' class='header-anchors'>Collect data through Channel</h2><p>The Event API support optional <code>channel</code> query parameter. This allows you to import and query events of the specified channel. When the <code>channel</code> parameter is not specified, the data is collected through the default channel.</p><p>URL: <code>http://localhost:7070/events.json?accessKey=yourAccessKeyString&channel=yourChannelName</code></p><p>Query parameters:</p> <table><thead> <tr> <th style="text-align: left">Field</th> <th style="text-align: left">Type</th> <th style="text-align: left">Description</th> </tr> </thead><tbody> <tr> <td style="text-align: left"><code>accessKey</code></td> <td style="text-align: left">String</td> <td style="text-align: left">The Access Key for your App</td> </tr> <tr> <td style="text-align: left"><code>channel</c
ode></td> <td style="text-align: left">String</td> <td style="text-align: left">The channel name (optional). Specify this to import data to this channel. <strong>NOTE: supported in PIO version >= 0.9.2</strong> only. Channel must be created first.</td> </tr> </tbody></table> <p>For SDK usage, one EventClient should be responsible for collecting data of one specific channel. The channel name is specified when the EventClient object is instantiated.</p><p>For example, the following code import event to "YOUR_CHANNEL" of the corresponding App.</p><div class="tabs"> <ul class="control"> <li data-lang="bash"><a href="#tab-dea451ee-fdb1-41d2-b15e-1c668676ec16">Raw HTTP</a></li> <li data-lang="php"><a href="#tab-56ae1b9d-6a6e-468c-9e20-e89d2931aa5b">PHP SDK</a></li> <li data-lang="python"><a href="#tab-3c927adc-88e7-400f-b04e-baa939204c4f">Python SDK</a></li> <li data-lang="ruby"><a href="#tab-faaaddd4-4fb0-4328-87b5-8404385a9968">Ruby SDK</a></li> <li data-lang="java"><a href
="#tab-540d3043-a0a8-4b50-83c3-7030d524e11c">Java SDK</a></li> </ul> <div data-tab="Raw HTTP" data-lang="bash" id="tab-dea451ee-fdb1-41d2-b15e-1c668676ec16"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</span></pre></td></tr></tbody></table> </div> <p>Now "myChannel" is created and ready for collecting data.</p><h2 id='collect-data-through-channel' class='header-anchors'>Collect data through Channel</h2><p>The Event API support optional <code>channel</code> query parameter. This allows you to import and query events of the specified channel. When the <code>channel</code> parameter is not specified, the data is collected through the default channel.</p><p>URL: <code>http://localhost:7070/events.json?accessKey=yourAccessKeyString&channel=yourChannelName</code></p><p>Query parameters:</p> <table><thead> <tr> <th style="text-align: left">Field</th> <th style="text-align: left">Type</th> <th style="text-align: left">Description</th> </tr> </thead><tbody> <tr> <td style="text-align: left"><code>accessKey</code></td> <td style="text-align: left">String</td> <td style="text-align: left">The Access Key for your App</td> </tr> <tr> <td style="text-align: left"><code>channel</c
ode></td> <td style="text-align: left">String</td> <td style="text-align: left">The channel name (optional). Specify this to import data to this channel. <strong>NOTE: supported in PIO version >= 0.9.2</strong> only. Channel must be created first.</td> </tr> </tbody></table> <p>For SDK usage, one EventClient should be responsible for collecting data of one specific channel. The channel name is specified when the EventClient object is instantiated.</p><p>For example, the following code import event to "YOUR_CHANNEL" of the corresponding App.</p><div class="tabs"> <ul class="control"> <li data-lang="bash"><a href="#tab-f384d253-aef1-414b-95c4-f65f6b355158">Raw HTTP</a></li> <li data-lang="php"><a href="#tab-39afb84b-78a5-4070-9c5e-0b5d26c4a61e">PHP SDK</a></li> <li data-lang="python"><a href="#tab-65dbdf81-86fa-4665-ad7e-8f0b1d4c1aab">Python SDK</a></li> <li data-lang="ruby"><a href="#tab-af9d205f-5cfa-4037-a87f-415d4daaa8a8">Ruby SDK</a></li> <li data-lang="java"><a href
="#tab-f0e66c60-c46a-41bc-862a-fc62420bcb14">Java SDK</a></li> </ul> <div data-tab="Raw HTTP" data-lang="bash" id="tab-f384d253-aef1-414b-95c4-f65f6b355158"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -39,7 +39,7 @@
},
"eventTime" : "2004-12-13T21:39:45.618Z"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-56ae1b9d-6a6e-468c-9e20-e89d2931aa5b"> (TODO: update me) </div> <div data-tab="Python SDK" data-lang="python" id="tab-3c927adc-88e7-400f-b04e-baa939204c4f"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-39afb84b-78a5-4070-9c5e-0b5d26c4a61e"> (TODO: update me) </div> <div data-tab="Python SDK" data-lang="python" id="tab-65dbdf81-86fa-4665-ad7e-8f0b1d4c1aab"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -80,7 +80,7 @@
<span class="n">properties</span><span class="o">=</span><span class="n">event_properties</span><span class="p">,</span>
<span class="n">event_time</span><span class="o">=</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2014</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">13</span><span class="p">,</span> <span class="mi">21</span><span class="p">,</span> <span class="mi">38</span><span class="p">,</span> <span class="mi">45</span><span class="p">,</span> <span class="mi">618000</span><span class="p">,</span> <span class="n">pytz</span><span class="o">.</span><span class="n">utc</span><span class="p">))</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-faaaddd4-4fb0-4328-87b5-8404385a9968"> (TODO: update me) </div> <div data-tab="Java SDK" data-lang="java" id="tab-540d3043-a0a8-4b50-83c3-7030d524e11c"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="o">(</span><span class="n">coming</span> <span class="n">soon</span><span class="o">)</span>
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-af9d205f-5cfa-4037-a87f-415d4daaa8a8"> (TODO: update me) </div> <div data-tab="Java SDK" data-lang="java" id="tab-f0e66c60-c46a-41bc-862a-fc62420bcb14"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="o">(</span><span class="n">coming</span> <span class="n">soon</span><span class="o">)</span>
</pre></td> </tr></tbody></table> </div> </div> </div> <p>You can also follow the EventAPI <a href="/datacollection/eventapi/#debugging-recipes">debug receipts</a> to query the events of specific channel by adding the <code>channel</code> query parameter in the URL.</p><h2 id='delete-a-channel-(including-all-imported-data)' class='header-anchors'>Delete a Channel (including all imported data)</h2><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>pio app channel-delete <app name> <channel name>
</pre></td></tr></tbody></table> </div> <h2 id='delete-the-data-only-of-a-channel' class='header-anchors'>Delete the data-only of a Channel</h2><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>pio app data-delete <app name> --channel <channel name>
</pre></td></tr></tbody></table> </div> <h2 id='accessing-channel-data-in-engine' class='header-anchors'>Accessing Channel Data in Engine</h2><p>To acccess channel data, simply specify the channel name when use the PEventStore or LEventStore API. Data is read from from the default channel if channelName is not specified.</p><p>For example, read data from default channel:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/datacollection/eventapi/index.html
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@@ -22,7 +22,7 @@ Content-Length: 18
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Name: MyTestApp
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> ID: 6
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Access Key: WPgcXKd42FPQpZHVbVeMyqF4CQJUnXQmIMTHhX3ZUrSzvy1KXJjdFUrslifa9rnB
-</pre></td></tr></tbody></table> </div> <h3 id='creating-your-first-event' class='header-anchors'>Creating Your First Event</h3><p>You may connect to the Event Server with HTTP request or by using one of many <strong>Apache PredictionIO SDKs</strong>.</p><p>For example, the following shows how one can create an event involving a single entity. Replace the value of <code>accessKey</code> by the <em>Access Key</em> generated for your App.</p><div class="tabs"> <ul class="control"> <li data-lang="bash"><a href="#tab-b9f3ee84-8379-4152-94e7-ce35e204eb5e">Raw HTTP</a></li> <li data-lang="php"><a href="#tab-8c0bc1d5-de11-45e9-ba65-bb9cbbdab766">PHP SDK</a></li> <li data-lang="python"><a href="#tab-4e486ed0-3435-4cbb-95bc-dd775f4b5e8f">Python SDK</a></li> <li data-lang="ruby"><a href="#tab-b7829541-688b-438a-bb65-0f428d2b71d3">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-2cbea880-0da6-41f2-965b-5fefeb6e8062">Java SDK</a></li> </ul> <div data-tab="Raw HTTP" data-lang="bash" id="tab-
b9f3ee84-8379-4152-94e7-ce35e204eb5e"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <h3 id='creating-your-first-event' class='header-anchors'>Creating Your First Event</h3><p>You may connect to the Event Server with HTTP request or by using one of many <strong>Apache PredictionIO SDKs</strong>.</p><p>For example, the following shows how one can create an event involving a single entity. Replace the value of <code>accessKey</code> by the <em>Access Key</em> generated for your App.</p><div class="tabs"> <ul class="control"> <li data-lang="bash"><a href="#tab-bd15ec31-82a2-4e14-8276-1260c04d689d">Raw HTTP</a></li> <li data-lang="php"><a href="#tab-64e01bad-e186-4bee-9884-938c809d025a">PHP SDK</a></li> <li data-lang="python"><a href="#tab-091fc1ce-b982-4022-8768-bac4357f082c">Python SDK</a></li> <li data-lang="ruby"><a href="#tab-16405fb2-5daf-4e55-af83-925f9197ab32">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-385a78a2-81bd-47f4-93f4-17f9a8b394a2">Java SDK</a></li> </ul> <div data-tab="Raw HTTP" data-lang="bash" id="tab-
bd15ec31-82a2-4e14-8276-1260c04d689d"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -53,7 +53,7 @@ Content-Length: 18
}
"eventTime" : "2004-12-13T21:39:45.618-07:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-8c0bc1d5-de11-45e9-ba65-bb9cbbdab766"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-64e01bad-e186-4bee-9884-938c809d025a"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -94,7 +94,7 @@ Content-Length: 18
<span class="s1">'eventTime'</span> <span class="o">=></span> <span class="s1">'2004-12-13T21:39:45.618-07:00'</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-4e486ed0-3435-4cbb-95bc-dd775f4b5e8f"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-091fc1ce-b982-4022-8768-bac4357f082c"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="n">properties</span><span class="o">=</span><span class="n">first_event_properties</span><span class="p">,</span>
<span class="n">event_time</span><span class="o">=</span><span class="n">first_event_time</span><span class="p">,</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-b7829541-688b-438a-bb65-0f428d2b71d3"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-16405fb2-5daf-4e55-af83-925f9197ab32"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -158,8 +158,8 @@ Content-Length: 18
<span class="s1">'prop4'</span> <span class="o">=></span> <span class="kp">true</span><span class="p">,</span>
<span class="s1">'prop5'</span> <span class="o">=></span> <span class="sx">%w(a b c)</span><span class="p">,</span>
<span class="s1">'prop6'</span> <span class="o">=></span> <span class="mi">4</span><span class="o">.</span><span class="mi">56</span> <span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-2cbea880-0da6-41f2-965b-5fefeb6e8062"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="o">(</span><span class="n">coming</span> <span class="n">soon</span><span class="o">)</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>For example, the following shows how one can create an event involving two entities (with <code>targetEntity</code>).</p><div class="tabs"> <ul class="control"> <li data-lang="bash"><a href="#tab-8ac56e28-4899-4f7c-af55-5525fe4fcdf5">Raw HTTP</a></li> <li data-lang="php"><a href="#tab-f594af16-d577-43c1-a67a-ae6491be7f16">PHP SDK</a></li> <li data-lang="python"><a href="#tab-26f7a7ec-27b4-4a49-b0c1-d8f8cfe84c27">Python SDK</a></li> <li data-lang="ruby"><a href="#tab-bb8562e0-949d-428d-951b-5f9553feb9b7">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-80f1a001-920a-469e-bb08-140c8cece9b2">Java SDK</a></li> </ul> <div data-tab="Raw HTTP" data-lang="bash" id="tab-8ac56e28-4899-4f7c-af55-5525fe4fcdf5"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-385a78a2-81bd-47f4-93f4-17f9a8b394a2"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="o">(</span><span class="n">coming</span> <span class="n">soon</span><span class="o">)</span>
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>For example, the following shows how one can create an event involving two entities (with <code>targetEntity</code>).</p><div class="tabs"> <ul class="control"> <li data-lang="bash"><a href="#tab-6460c7af-12bd-408c-868b-7977d59aeaba">Raw HTTP</a></li> <li data-lang="php"><a href="#tab-42a715ab-f009-4567-9da5-1ac7f265a30f">PHP SDK</a></li> <li data-lang="python"><a href="#tab-f0834e76-ff69-4c22-930d-7a60f24a246d">Python SDK</a></li> <li data-lang="ruby"><a href="#tab-26e856b6-eed2-431c-ac3b-ac45feca1086">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-30fd4990-7d44-4cf9-a0c0-de69faa4fe27">Java SDK</a></li> </ul> <div data-tab="Raw HTTP" data-lang="bash" id="tab-6460c7af-12bd-408c-868b-7977d59aeaba"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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},
"eventTime" : "2004-12-13T21:39:45.618Z"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-f594af16-d577-43c1-a67a-ae6491be7f16"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-42a715ab-f009-4567-9da5-1ac7f265a30f"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="s1">'eventTime'</span> <span class="o">=></span> <span class="s1">'2004-12-13T21:39:45.618Z'</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-26f7a7ec-27b4-4a49-b0c1-d8f8cfe84c27"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-f0834e76-ff69-4c22-930d-7a60f24a246d"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -246,7 +246,7 @@ Content-Length: 18
<span class="n">target_entity_id</span><span class="o">=</span><span class="s">"iid"</span><span class="p">,</span>
<span class="n">properties</span><span class="o">=</span><span class="n">second_event_properties</span><span class="p">,</span>
<span class="n">event_time</span><span class="o">=</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2014</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">13</span><span class="p">,</span> <span class="mi">21</span><span class="p">,</span> <span class="mi">38</span><span class="p">,</span> <span class="mi">45</span><span class="p">,</span> <span class="mi">618000</span><span class="p">,</span> <span class="n">pytz</span><span class="o">.</span><span class="n">utc</span><span class="p">))</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-bb8562e0-949d-428d-951b-5f9553feb9b7"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-26e856b6-eed2-431c-ac3b-ac45feca1086"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -263,7 +263,7 @@ Content-Length: 18
<span class="s1">'eventTime'</span> <span class="o">=></span> <span class="s1">'2004-12-13T21:39:45.618Z'</span><span class="p">,</span>
<span class="s1">'properties'</span> <span class="o">=></span> <span class="p">{</span> <span class="s1">'someProperty'</span> <span class="o">=></span> <span class="s1">'value1'</span><span class="p">,</span>
<span class="s1">'anotherProperty'</span> <span class="o">=></span> <span class="s1">'value2'</span> <span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-80f1a001-920a-469e-bb08-140c8cece9b2"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="o">(</span><span class="n">coming</span> <span class="n">soon</span><span class="o">)</span>
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-30fd4990-7d44-4cf9-a0c0-de69faa4fe27"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="o">(</span><span class="n">coming</span> <span class="n">soon</span><span class="o">)</span>
</pre></td> </tr></tbody></table> </div> </div> </div> <p>Sample response:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
@@ -277,7 +277,7 @@ Content-Type: application/json; <span class="nv">charset</span><span class="o">=
Content-Length: 41
<span class="o">{</span><span class="s2">"eventId"</span>:<span class="s2">"AAAABAAAAQDP3-jSlTMGVu0waj8"</span><span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <h2 id='using-event-api' class='header-anchors'>Using Event API</h2><h3 id='event-creation-api' class='header-anchors'>Event Creation API</h3><p>URL: <code>http://localhost:7070/events.json?accessKey=yourAccessKeyString</code></p><p>Query parameters:</p> <table><thead> <tr> <th style="text-align: left">Field</th> <th style="text-align: left">Type</th> <th style="text-align: left">Description</th> </tr> </thead><tbody> <tr> <td style="text-align: left"><code>accessKey</code></td> <td style="text-align: left">String</td> <td style="text-align: left">The Access Key for your App</td> </tr> </tbody></table> <p>The event creation support many commonly used data. POST request body:</p> <table><thead> <tr> <th style="text-align: left">Field</th> <th style="text-align: left">Type</th> <th style="text-align: left">Description</th> </tr> </thead><tbody> <tr> <td style="text-align: left"><code>event</code></td> <td style="text-align: left">String</td> <td
style="text-align: left">Name of the event.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">(Examples: "sign-up", "rate", "view", "buy").</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><strong>Note</strong>: All event names start with "$" and "pio_" are reserved</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">and shouldn't be used as your custom event name (eg. "$set").</td> </tr> <tr> <td style="text-align: left"><code>entityType</code></td> <td style="text-align: left">String</td> <td style="text-align: left">The entity type. It is the namespace of the entityId and</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">analogous to the table name of
a relational database. The</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">entityId must be unique within same entityType.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><strong>Note</strong>: All entityType names start with "$" and "pio_" are</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">reserved and shouldn't be used.</td> </tr> <tr> <td style="text-align: left"><code>entityId</code></td> <td style="text-align: left">String</td> <td style="text-align: left">The entity ID. <code>entityType-entityId</code> becomes the unique</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">identifier of the entity. For example, you may have entityType</td> </tr> <tr> <td style="text-align: left"></td> <td style
="text-align: left"></td> <td style="text-align: left">named <code>user</code>, and different entity IDs, say <code>1</code> and <code>2</code>. In this</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">case, <code>user-1</code> and <code>user-2</code> uniquely identifies</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">entities.</td> </tr> <tr> <td style="text-align: left"><code>targetEntityType</code></td> <td style="text-align: left">String</td> <td style="text-align: left">(Optional) The target entity type.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><strong>Note</strong>: All entityType names start with "$" and "pio_"</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">are reserved and shouldn'
t be used.</td> </tr> <tr> <td style="text-align: left"><code>targetEntityId</code></td> <td style="text-align: left">String</td> <td style="text-align: left">(Optional) The target entity ID.</td> </tr> <tr> <td style="text-align: left"><code>properties</code></td> <td style="text-align: left">JSON</td> <td style="text-align: left">(Optional) See <strong>Note About Properties</strong> below</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><strong>Note</strong>: All peroperty names start with "$" and "pio_"</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">are reserved and shouldn't be used as keys inside <code>properties</code>.</td> </tr> <tr> <td style="text-align: left"><code>eventTime</code></td> <td style="text-align: left">String</td> <td style="text-align: left">(Optional) The time of the event. Although Event Server's<
/td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">current system time and UTC timezone will be used if this is</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">unspecified, it is highly recommended that this time should be</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">generated by the client application in order to accurately</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">record the time of the event.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">Must be in ISO 8601 format (e.g.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><code>2004-12-13T21:39:45.618Z</code>, or <code>2014-09-09T16
:17:42.937-08:00</code>).</td> </tr> </tbody></table> <h2 id='note-about-properties' class='header-anchors'>Note About Properties</h2><p>Note that <code>properties</code> can be:</p> <ol> <li>Associated with an <em>generic event</em>: The <code>properties</code> field provide additional information about this event</li> <li>Associated with an <em>entity</em>: The <code>properties</code> field is used to record the changes of an entity's properties with special events <code>$set</code>, <code>$unset</code> and <code>$delete</code>.</li> </ol> <p>Please see the <a href="/datacollection/eventmodel/">Events Modeling</a> for detailed explanation.</p><h2 id='debugging-recipes' class='header-anchors'>Debugging Recipes</h2><div class="alert-message warning"><p>The following API are mainly for development or debugging purpose only. They should not be supported by SDK nor used by real application under normal circumstances and they are subject to changes.</p></div><div class="alert-messag
e info"><p>Instead of using <code>curl</code>, you can also install JSON browser plugins such as <strong>JSONView</strong> to pretty-print the JSON on your browser. With the browser plugin you can make the <code>GET</code> queries below by passing in the URL. Plugins like <strong>Postman - REST Client</strong> provide a more advanced interface for making queries.</p></div><p>The <code>accessKey</code> query parameter is mandatory.</p><p>Replace <code><your_accessKey></code> and <code><your_eventId></code> by a real one in the following:</p><h3 id='get-an-event' class='header-anchors'>Get an Event</h3><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>curl -i -X GET http://localhost:7070/events/<your_eventId>.json?accessKey<span class="o">=</span><your_accessKey>
+</pre></td></tr></tbody></table> </div> <h2 id='using-event-api' class='header-anchors'>Using Event API</h2><h3 id='event-creation-api' class='header-anchors'>Event Creation API</h3><p>URL: <code>http://localhost:7070/events.json?accessKey=yourAccessKeyString</code></p><p>Query parameters:</p> <table><thead> <tr> <th style="text-align: left">Field</th> <th style="text-align: left">Type</th> <th style="text-align: left">Description</th> </tr> </thead><tbody> <tr> <td style="text-align: left"><code>accessKey</code></td> <td style="text-align: left">String</td> <td style="text-align: left">The Access Key for your App</td> </tr> </tbody></table> <p>The event creation support many commonly used data. POST request body:</p> <table><thead> <tr> <th style="text-align: left">Field</th> <th style="text-align: left">Type</th> <th style="text-align: left">Description</th> </tr> </thead><tbody> <tr> <td style="text-align: left"><code>event</code></td> <td style="text-align: left">String</td> <td
style="text-align: left">Name of the event.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">(Examples: "sign-up", "rate", "view", "buy").</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><strong>Note</strong>: All event names start with "$" and "pio_" are reserved</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">and shouldn't be used as your custom event name (eg. "$set").</td> </tr> <tr> <td style="text-align: left"><code>entityType</code></td> <td style="text-align: left">String</td> <td style="text-align: left">The entity type. It is the namespace of the entityId and</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">analogous to the table name of
a relational database. The</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">entityId must be unique within same entityType.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><strong>Note</strong>: All entityType names start with "$" and "pio_" are</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">reserved and shouldn't be used.</td> </tr> <tr> <td style="text-align: left"><code>entityId</code></td> <td style="text-align: left">String</td> <td style="text-align: left">The entity ID. <code>entityType-entityId</code> becomes the unique</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">identifier of the entity. For example, you may have entityType</td> </tr> <tr> <td style="text-align: left"></td> <td style
="text-align: left"></td> <td style="text-align: left">named <code>user</code>, and different entity IDs, say <code>1</code> and <code>2</code>. In this</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">case, <code>user-1</code> and <code>user-2</code> uniquely identifies</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">entities.</td> </tr> <tr> <td style="text-align: left"><code>targetEntityType</code></td> <td style="text-align: left">String</td> <td style="text-align: left">(Optional) The target entity type.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><strong>Note</strong>: All entityType names start with "$" and "pio_"</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">are reserved and shouldn'
t be used.</td> </tr> <tr> <td style="text-align: left"><code>targetEntityId</code></td> <td style="text-align: left">String</td> <td style="text-align: left">(Optional) The target entity ID.</td> </tr> <tr> <td style="text-align: left"><code>properties</code></td> <td style="text-align: left">JSON</td> <td style="text-align: left">(Optional) See <strong>Note About Properties</strong> below</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><strong>Note</strong>: All property names start with "$" and "pio_"</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">are reserved and shouldn't be used as keys inside <code>properties</code>.</td> </tr> <tr> <td style="text-align: left"><code>eventTime</code></td> <td style="text-align: left">String</td> <td style="text-align: left">(Optional) The time of the event. Although Event Server's</
td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">current system time and UTC timezone will be used if this is</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">unspecified, it is highly recommended that this time should be</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">generated by the client application in order to accurately</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">record the time of the event.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left">Must be in ISO 8601 format (e.g.</td> </tr> <tr> <td style="text-align: left"></td> <td style="text-align: left"></td> <td style="text-align: left"><code>2004-12-13T21:39:45.618Z</code>, or <code>2014-09-09T16:
17:42.937-08:00</code>).</td> </tr> </tbody></table> <h2 id='note-about-properties' class='header-anchors'>Note About Properties</h2><p>Note that <code>properties</code> can be:</p> <ol> <li>Associated with an <em>generic event</em>: The <code>properties</code> field provide additional information about this event</li> <li>Associated with an <em>entity</em>: The <code>properties</code> field is used to record the changes of an entity's properties with special events <code>$set</code>, <code>$unset</code> and <code>$delete</code>.</li> </ol> <p>Please see the <a href="/datacollection/eventmodel/">Events Modeling</a> for detailed explanation.</p><h2 id='debugging-recipes' class='header-anchors'>Debugging Recipes</h2><div class="alert-message warning"><p>The following API are mainly for development or debugging purpose only. They should not be supported by SDK nor used by real application under normal circumstances and they are subject to changes.</p></div><div class="alert-message
info"><p>Instead of using <code>curl</code>, you can also install JSON browser plugins such as <strong>JSONView</strong> to pretty-print the JSON on your browser. With the browser plugin you can make the <code>GET</code> queries below by passing in the URL. Plugins like <strong>Postman - REST Client</strong> provide a more advanced interface for making queries.</p></div><p>The <code>accessKey</code> query parameter is mandatory.</p><p>Replace <code><your_accessKey></code> and <code><your_eventId></code> by a real one in the following:</p><h3 id='get-an-event' class='header-anchors'>Get an Event</h3><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>curl -i -X GET http://localhost:7070/events/<your_eventId>.json?accessKey<span class="o">=</span><your_accessKey>
</pre></td></tr></tbody></table> </div> <h3 id='delete-an-event' class='header-anchors'>Delete an Event</h3><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>curl -i -X DELETE http://localhost:7070/events/<your_eventId>.json?accessKey<span class="o">=</span><your_accessKey>
</pre></td></tr></tbody></table> </div> <h3 id='get-events-of-an-app' class='header-anchors'>Get Events of an App</h3><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>curl -i -X GET http://localhost:7070/events.json?accessKey<span class="o">=</span><your_accessKey>
</pre></td></tr></tbody></table> </div> <div class="alert-message info"><p>By default, it returns at most 20 events. Use the <code>limit</code> parameter to specify how many events returned (see below). Use cautiously!</p></div><p>In addition, the following <em>optional</em> parameters are supported:</p> <ul> <li><code>startTime</code>: time in ISO8601 format. Return events with <code>eventTime >= startTime</code>.</li> <li><code>untilTime</code>: time in ISO8601 format. Return events with <code>eventTime < untilTime</code>.</li> <li><code>entityType</code>: String. The entityType. Return events for this <code>entityType</code> only.</li> <li><code>entityId</code>: String. The entityId. Return events for this <code>entityId</code> only.</li> <li><code>event</code>: String. The event name. Return events with this name only.</li> <li><code>targetEntityType</code>: String. The targetEntityType. Return events for this <code>targetEntityType</code> only.</li> <li><code>targetEntity
Id</code>: String. The targetEntityId. Return events for this <code>targetEntityId</code> only.</li> <li><code>limit</code>: Integer. The number of record events returned. Default is 20. -1 to get all.</li> <li><code>reversed</code>: Boolean. <strong>Must be used with both <code>entityType</code> and <code>entityId</code> specified</strong>, returns events in reversed chronological order. Default is false.</li> </ul> <div class="alert-message warning"><p>If you are using <code>curl</code> with the <code>&</code> symbol, you should quote the entire URL by using single or double quotes.</p></div><div class="alert-message warning"><p>Depending on the size of data, you may encounter timeout when querying with some of the above filters. Event server uses <code>entityType</code> and <code>entityId</code> as the key so any query without both <code>entityType</code> and <code>entityId</code> specified might result in a timeout.</p></div><p>For example, get all events of an app with <cod
e>eventTime >= startTime</code></p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>curl -i -X GET <span class="s2">"http://localhost:7070/events.json?accessKey=<your_accessKey>&startTime=<time in ISO8601 format>"</span>
[07/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/support/index.html
----------------------------------------------------------------------
diff --git a/support/index.html b/support/index.html
index 28a4ed6..384e97d 100644
--- a/support/index.html
+++ b/support/index.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html><html><head><title>Getting Help</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Getting Help"/><link rel="canonical" href="https://predictionio.apache.org/support/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MM
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l-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integratio
n Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="lev
el-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final"
href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a cl
ass="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="fina
l" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation
Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class
="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"
><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/qui
ckstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final"
href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li cl
ass="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final active" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a c
lass="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Getting Help</a><span class="spacer">></span></li><li><span class="last">Support</span></li></ul></div><div id="page-title"><h1>Getting Help</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#community-supp
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page-heading-wrapper"><p>PredictionIO Docs</p><h4>Support</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="leve
l-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integratio
n Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="lev
el-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final"
href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a cl
ass="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="fina
l" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation
Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class
="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"
><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/qui
ckstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final"
href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li cl
ass="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final active" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a c
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/classification/quickstart/index.html
----------------------------------------------------------------------
diff --git a/templates/classification/quickstart/index.html b/templates/classification/quickstart/index.html
index afde1dc..3f258f3 100644
--- a/templates/classification/quickstart/index.html
+++ b/templates/classification/quickstart/index.html
@@ -32,7 +32,7 @@ Your system is all ready to go.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
-</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data. By default, the Classification Engine Template reads 4 properties of a user record: attr0, attr1, attr2 and plan. This templates requires '$set' user events.</p><div class="alert-message info"><p>This template can easily be customized to use different or more number of attributes.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>loc
alhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>To set properties "attr0", "attr1", "attr2" and "plan" for user "u0" on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send <code>$set</code> event for the user. To send this event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-ae521aaf-6900-4d77-a3d1-5a4e6fe7e04f">REST API</a></li> <li data-lang="python"><a href="#tab-8de501be-1de6-46f7-92b1-96337f0a1e51">Python SDK</a></li> <li data-lang="php"><a href="#tab-3085efb3-9320-4349-a8c7-b23185afe38c">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-3db9acf6-f36e-4348-8547-cc26ae672bec">Ruby SDK</a></li> <li data-lang="java"><a href="#
tab-d5d9ab88-8953-4512-83f1-0083b6d23721">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-ae521aaf-6900-4d77-a3d1-5a4e6fe7e04f"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data. By default, the Classification Engine Template reads 4 properties of a user record: attr0, attr1, attr2 and plan. This templates requires '$set' user events.</p><div class="alert-message info"><p>This template can easily be customized to use different or more number of attributes.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>loc
alhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>To set properties "attr0", "attr1", "attr2" and "plan" for user "u0" on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send <code>$set</code> event for the user. To send this event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-1373d69c-3da1-4fd8-ba2d-1ee6d09ebdfc">REST API</a></li> <li data-lang="python"><a href="#tab-5652fbc2-2622-4b80-8bd7-62fba769a94e">Python SDK</a></li> <li data-lang="php"><a href="#tab-f3fa198b-06cf-45de-9f5e-93d723b350cc">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-6b486e8e-1b48-430e-99bc-38b16c227fae">Ruby SDK</a></li> <li data-lang="java"><a href="#
tab-a5306bef-f0d5-4c58-8565-627479d01ee0">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-1373d69c-3da1-4fd8-ba2d-1ee6d09ebdfc"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -59,7 +59,7 @@ Your system is all ready to go.
}
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-8de501be-1de6-46f7-92b1-96337f0a1e51"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-5652fbc2-2622-4b80-8bd7-62fba769a94e"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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<span class="s">"plan"</span> <span class="p">:</span> <span class="nb">int</span><span class="p">(</span><span class="o"><</span><span class="n">VALUE</span> <span class="n">OF</span> <span class="n">PLAN</span><span class="o">></span><span class="p">)</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-3085efb3-9320-4349-a8c7-b23185afe38c"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-f3fa198b-06cf-45de-9f5e-93d723b350cc"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -137,7 +137,7 @@ Your system is all ready to go.
<span class="p">)</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-3db9acf6-f36e-4348-8547-cc26ae672bec"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-6b486e8e-1b48-430e-99bc-38b16c227fae"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -168,7 +168,7 @@ Your system is all ready to go.
<span class="p">}</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-d5d9ab88-8953-4512-83f1-0083b6d23721"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-a5306bef-f0d5-4c58-8565-627479d01ee0"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -203,7 +203,7 @@ Your system is all ready to go.
<span class="s">"plan"</span><span class="o">,</span> <span class="o"><</span><span class="n">VALUE</span> <span class="n">OF</span> <span class="n">PLAN</span><span class="o">></span>
<span class="o">));</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">event</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>Note that you can also set the properties for the user with multiple <code>$set</code> events (They will be aggregated during engine training).</p><p>To set properties "attr0", "attr1" and "attr2", and "plan" for user "u1" at different time, you can send follwing <code>$set</code> events for the user. To send these events, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-24123ceb-e0f8-4960-b3e7-19f0eb0f67b2">REST API</a></li> <li data-lang="python"><a href="#tab-75b616b0-c375-419d-9210-7cd4b5d3bc4b">Python SDK</a></li> <li data-lang="php"><a href="#tab-639c25ea-332f-4186-8516-20d614275f7f">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-6affc819-9cde-443f-ae8d-31436c4879cb">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-9afaf4c8-79cc-495a-87fb-cd29c94c992d">Java SDK</a></li> </ul> <div data-tab
="REST API" data-lang="json" id="tab-24123ceb-e0f8-4960-b3e7-19f0eb0f67b2"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>Note that you can also set the properties for the user with multiple <code>$set</code> events (They will be aggregated during engine training).</p><p>To set properties "attr0", "attr1" and "attr2", and "plan" for user "u1" at different time, you can send following <code>$set</code> events for the user. To send these events, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-9280f972-ebbc-435c-90cb-a3b991537adf">REST API</a></li> <li data-lang="python"><a href="#tab-da99bfc3-0454-4f4a-8dee-e0ea2a5179bc">Python SDK</a></li> <li data-lang="php"><a href="#tab-2944ad22-e919-4268-a0a8-03c898c5b9da">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-92be51f7-d8f4-48b8-a44a-882e346a3281">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-93ea524e-3580-4000-b438-87a4e6c67b4a">Java SDK</a></li> </ul> <div data-ta
b="REST API" data-lang="json" id="tab-9280f972-ebbc-435c-90cb-a3b991537adf"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -274,7 +274,7 @@ Your system is all ready to go.
}
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-75b616b0-c375-419d-9210-7cd4b5d3bc4b"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-da99bfc3-0454-4f4a-8dee-e0ea2a5179bc"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -327,7 +327,7 @@ Your system is all ready to go.
<span class="s">"plan"</span> <span class="p">:</span> <span class="nb">int</span><span class="p">(</span><span class="o"><</span><span class="n">VALUE</span> <span class="n">OF</span> <span class="n">PLAN</span><span class="o">></span><span class="p">)</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-639c25ea-332f-4186-8516-20d614275f7f"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-2944ad22-e919-4268-a0a8-03c898c5b9da"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -390,7 +390,7 @@ Your system is all ready to go.
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-6affc819-9cde-443f-ae8d-31436c4879cb"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-92be51f7-d8f4-48b8-a44a-882e346a3281"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -433,7 +433,7 @@ Your system is all ready to go.
<span class="p">)</span>
<span class="c1"># Etc...</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-9afaf4c8-79cc-495a-87fb-cd29c94c992d"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-93ea524e-3580-4000-b438-87a4e6c67b4a"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -497,17 +497,17 @@ Your system is all ready to go.
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. For example, to predict the label (i.e. <em>plan</em> in this case) of a user with attr0=2, attr1=0 and attr2=0, you send this JSON <code>{ "attr0":2, "attr1":0, "attr2":0 }</code> to the deployed engine and it will return a JSON of the predicted plan. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK t
o send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="bash"><a href="#tab-e23b6427-272a-41c3-a2fe-2e6f2c7dff66">REST API</a></li> <li data-lang="python"><a href="#tab-97827f40-a5da-4229-8b3e-ce5432f7d326">Python SDK</a></li> <li data-lang="php"><a href="#tab-e13d95b2-da61-43d2-bfe5-8563515d8592">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-dd2c6fbc-ff6e-416f-ae52-c1e273bfe342">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-7b730c60-da21-4420-afec-155236beba69">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="bash" id="tab-e23b6427-272a-41c3-a2fe-2e6f2c7dff66"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. For example, to predict the label (i.e. <em>plan</em> in this case) of a user with attr0=2, attr1=0 and attr2=0, you send this JSON <code>{ "attr0":2, "attr1":0, "attr2":0 }</code> to the deployed engine and it will return a JSON of the predicted plan. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK t
o send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="bash"><a href="#tab-922470ba-c767-420d-b17d-30674476545d">REST API</a></li> <li data-lang="python"><a href="#tab-ef808c90-ba1f-40ac-942d-75c9e9b5a5eb">Python SDK</a></li> <li data-lang="php"><a href="#tab-2ea81be2-5070-4088-a968-363f4e066ae3">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-6c20fcc9-3986-4d80-bf41-9b06a54f41e3">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-613941e6-59d5-4a8d-98cb-b9f028ea9cb6">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="bash" id="tab-922470ba-c767-420d-b17d-30674476545d"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{ "attr0":2, "attr1":0, "attr2":0 }'</span> http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-97827f40-a5da-4229-8b3e-ce5432f7d326"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-ef808c90-ba1f-40ac-942d-75c9e9b5a5eb"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">predictionio</span>
<span class="n">engine_client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EngineClient</span><span class="p">(</span><span class="n">url</span><span class="o">=</span><span class="s">"http://localhost:8000"</span><span class="p">)</span>
<span class="k">print</span> <span class="n">engine_client</span><span class="o">.</span><span class="n">send_query</span><span class="p">({</span><span class="s">"attr0"</span><span class="p">:</span><span class="mi">2</span><span class="p">,</span> <span class="s">"attr1"</span><span class="p">:</span><span class="mi">0</span><span class="p">,</span> <span class="s">"attr2"</span><span class="p">:</span><span class="mi">0</span><span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-e13d95b2-da61-43d2-bfe5-8563515d8592"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-2ea81be2-5070-4088-a968-363f4e066ae3"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -526,7 +526,7 @@ Your system is all ready to go.
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-dd2c6fbc-ff6e-416f-ae52-c1e273bfe342"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-6c20fcc9-3986-4d80-bf41-9b06a54f41e3"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -539,7 +539,7 @@ Your system is all ready to go.
<span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="nf">send_query</span><span class="p">(</span><span class="s1">'attr0'</span> <span class="o">=></span> <span class="mi">2</span><span class="p">,</span> <span class="s1">'attr1'</span> <span class="o">=></span> <span class="mi">0</span><span class="p">,</span> <span class="s1">'attr2'</span> <span class="o">=></span> <span class="mi">0</span><span class="p">)</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-7b730c60-da21-4420-afec-155236beba69"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-613941e6-59d5-4a8d-98cb-b9f028ea9cb6"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/complementarypurchase/dase/index.html
----------------------------------------------------------------------
diff --git a/templates/complementarypurchase/dase/index.html b/templates/complementarypurchase/dase/index.html
index 8a22806..fbe2989 100644
--- a/templates/complementarypurchase/dase/index.html
+++ b/templates/complementarypurchase/dase/index.html
@@ -212,7 +212,7 @@
<span class="n">maxNumRulesPerCond</span><span class="k">:</span> <span class="kt">Int</span> <span class="c1">// max number of rules per condition
</span> <span class="o">)</span> <span class="k">extends</span> <span class="nc">Params</span>
-</pre></td></tr></tbody></table> </div> <p>Parameter description:</p> <ul> <li><strong>basketWindow</strong>: The buy event is considered as the same basket as previous one if the time difference is within this window (in unit of seconds). For example, if it's set to 120, it means that if the user buys item B within 2 minutes of previous purchase (item A), then the item set [A, B] is considered as the same basket. The purchase of this <em>basket</em> is referred as one <em>transaction</em>.</li> <li><strong>maxRuleLength</strong>: The maximum length of the association rule length. Must be at least 2. For example, rule of "A implies B" has length of 2 while rule "A, B implies C" has a length of 3. Increasing this number will incrase the training time significantly because more combinations are considered.</li> <li><strong>minSupport</strong>: The minimum required <em>support</em> for the item set to be considered as rule (valid range is 0 to 1). It's the p
ercentage of the item set appearing among all transactions. This is used to filter out infrequent item set. For example, setting to 0.1 means that the item set must appear in 10 % of all transactions.</li> <li><strong>minConfidence</strong>: The minimum <em>confidence</em> required for the rules (valid range is 0 to 1). The confidence indicates the probability of the condition and conseuquence appear in the same transaction. For example, if A appears in 30 transactions and the item set [A, B] appears in 20 transactions, then the rule "A implies B" has confidence of 0.66.</li> <li><strong>minLift</strong>: The minimum <em>lift</em> required for the rule. It should be set to 1 to find high quality rule. It's the confidence of the rule divided by the support of the consequence. It is used to filter out rules that the consequence is very frequent anyway regardless of the condition.</li> <li><strong>minBasketSize</strong>: The minimum number of items in basket to be conside
red by algorithm. This value must be at least 2.</li> <li><strong>maxNumRulesPerCond</strong>: Maximum number of rules generated per condition and stored in the model. By default, the top rules are sorted by <em>lift</em> score.</li> </ul> <div class="alert-message info"><p>If you import your own data and the engine doesn't return any results, it could be caused by the following reasons: (1) the algorithm parameter constraint is too high and the algo couldn't find rules that satisfy the condition. you could try setting the following param to 0: <strong>minSupport</strong>, <strong>minConfidence</strong>, <strong>minLift</strong> and then see if anything returned (regardless of recommendation quality), and then adjust the parameter accordingly. (2) the complementary purchase engine requires buy event with correct eventTime. If you import data without specifying eventTime, the SDK will use current time because it assumes the event happens in real time (which is not the case if
you import as batch offline), resulting in that all buy events are treated as one big transaction while they should be treated as multiple transactions.</p></div><p>The values of these parameters can be specified in <em>algorithms</em> of MyComplementaryPurchase/<strong><em>engine.json</em></strong>:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Parameter description:</p> <ul> <li><strong>basketWindow</strong>: The buy event is considered as the same basket as previous one if the time difference is within this window (in unit of seconds). For example, if it's set to 120, it means that if the user buys item B within 2 minutes of previous purchase (item A), then the item set [A, B] is considered as the same basket. The purchase of this <em>basket</em> is referred as one <em>transaction</em>.</li> <li><strong>maxRuleLength</strong>: The maximum length of the association rule length. Must be at least 2. For example, rule of "A implies B" has length of 2 while rule "A, B implies C" has a length of 3. Increasing this number will increase the training time significantly because more combinations are considered.</li> <li><strong>minSupport</strong>: The minimum required <em>support</em> for the item set to be considered as rule (valid range is 0 to 1). It's the
percentage of the item set appearing among all transactions. This is used to filter out infrequent item set. For example, setting to 0.1 means that the item set must appear in 10 % of all transactions.</li> <li><strong>minConfidence</strong>: The minimum <em>confidence</em> required for the rules (valid range is 0 to 1). The confidence indicates the probability of the condition and conseuquence appear in the same transaction. For example, if A appears in 30 transactions and the item set [A, B] appears in 20 transactions, then the rule "A implies B" has confidence of 0.66.</li> <li><strong>minLift</strong>: The minimum <em>lift</em> required for the rule. It should be set to 1 to find high quality rule. It's the confidence of the rule divided by the support of the consequence. It is used to filter out rules that the consequence is very frequent anyway regardless of the condition.</li> <li><strong>minBasketSize</strong>: The minimum number of items in basket to be consid
ered by algorithm. This value must be at least 2.</li> <li><strong>maxNumRulesPerCond</strong>: Maximum number of rules generated per condition and stored in the model. By default, the top rules are sorted by <em>lift</em> score.</li> </ul> <div class="alert-message info"><p>If you import your own data and the engine doesn't return any results, it could be caused by the following reasons: (1) the algorithm parameter constraint is too high and the algo couldn't find rules that satisfy the condition. you could try setting the following param to 0: <strong>minSupport</strong>, <strong>minConfidence</strong>, <strong>minLift</strong> and then see if anything returned (regardless of recommendation quality), and then adjust the parameter accordingly. (2) the complementary purchase engine requires buy event with correct eventTime. If you import data without specifying eventTime, the SDK will use current time because it assumes the event happens in real time (which is not the case i
f you import as batch offline), resulting in that all buy events are treated as one big transaction while they should be treated as multiple transactions.</p></div><p>The values of these parameters can be specified in <em>algorithms</em> of MyComplementaryPurchase/<strong><em>engine.json</em></strong>:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
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-<!DOCTYPE html><html><head><title>Events Modeling</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Events Modeling"/><link rel="canonical" href="https://predictionio.apache.org/datacollection/eventmodel/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/Math
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de id="table-of-contents"><ul> <li> <a href="#1-generic-events-performed-by-an-entity">1. Generic events performed by an entity</a> </li> <li> <a href="#2-special-events-for-recording-changes-of-an-entity-s-properties">2. Special events for recording changes of an entity's properties</a> </li> <li> <a href="#3-batch-events-to-the-eventserver">3. Batch Events to the EventServer</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/datacollection/eventmodel.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Collecting and Analyzing Data</a><span class="spacer">></span></li><li><span class="last">Events Modeling</span></li></ul></div><div id="page-title"><h1>Events Modeling</h1></div></div><div class="content"> <p>This section explains how to model your app
lication data as events.</p><p><strong>Entity</strong>: it's the real world object involved in the events. The entity may perform the events, or interact with other entity (which became <code>targetEntity</code> in an event).</p><p>For example, your application may have users and some items which the user can interact with. Then you can model them as two entity types: <strong>user</strong> and <strong>item</strong> and the entityId can uniquely identify the entity within each entityType (e.g. user with ID 1, item with ID 1).</p><p>An entity may peform some events (e.g user 1 does something), and entity may have properties associated with it (e.g. user may have gender, age, email etc). Hence, <strong>events</strong> involve <strong>entities</strong> and there are three types of events, respectively:</p> <ol> <li>Generic events performed by an entity.</li> <li>Special events for recording changes of an entity's properties</li> <li>Batch events</li> </ol> <p>They are explained
in details below.</p><h2 id='1.-generic-events-performed-by-an-entity' class='header-anchors'>1. Generic events performed by an entity</h2><p>Whenever the entity performs an action, you can describe such event as <code>entity "verb" targetEntity with "some extra information"</code>. The <em>"targetEntity"</em> and <em>"some extra information"</em> can be optional. The <em>"verb"</em> can be used as the name of the <em>"event"</em>. The <em>"some extra information"</em> can be recorded as <code>properties</code> of the event.</p><p>The following are some simple examples:</p> <ul> <li>user-1 signs-up</li> </ul> <div class="highlight json"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+<!DOCTYPE html><html><head><title>Events Modeling</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Events Modeling"/><link rel="canonical" href="https://predictionio.apache.org/datacollection/eventmodel/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/Math
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</a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Collecting and Analyzing Data</a><span class="spacer">></span></li><li><span class="last">Events Modeling</span></li></ul></div><div id="page-title"><h1>Events Modeling</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><asi
de id="table-of-contents"><ul> <li> <a href="#1-generic-events-performed-by-an-entity">1. Generic events performed by an entity</a> </li> <li> <a href="#2-special-events-for-recording-changes-of-an-entity-s-properties">2. Special events for recording changes of an entity's properties</a> </li> <li> <a href="#3-batch-events-to-the-eventserver">3. Batch Events to the EventServer</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/datacollection/eventmodel.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Collecting and Analyzing Data</a><span class="spacer">></span></li><li><span class="last">Events Modeling</span></li></ul></div><div id="page-title"><h1>Events Modeling</h1></div></div><div class="content"> <p>This section explains how to model your app
lication data as events.</p><p><strong>Entity</strong>: it's the real world object involved in the events. The entity may perform the events, or interact with other entity (which became <code>targetEntity</code> in an event).</p><p>For example, your application may have users and some items which the user can interact with. Then you can model them as two entity types: <strong>user</strong> and <strong>item</strong> and the entityId can uniquely identify the entity within each entityType (e.g. user with ID 1, item with ID 1).</p><p>An entity may perform some events (e.g user 1 does something), and entity may have properties associated with it (e.g. user may have gender, age, email etc). Hence, <strong>events</strong> involve <strong>entities</strong> and there are three types of events, respectively:</p> <ol> <li>Generic events performed by an entity.</li> <li>Special events for recording changes of an entity's properties</li> <li>Batch events</li> </ol> <p>They are explained
in details below.</p><h2 id='1.-generic-events-performed-by-an-entity' class='header-anchors'>1. Generic events performed by an entity</h2><p>Whenever the entity performs an action, you can describe such event as <code>entity "verb" targetEntity with "some extra information"</code>. The <em>"targetEntity"</em> and <em>"some extra information"</em> can be optional. The <em>"verb"</em> can be used as the name of the <em>"event"</em>. The <em>"some extra information"</em> can be recorded as <code>properties</code> of the event.</p><p>The following are some simple examples:</p> <ul> <li>user-1 signs-up</li> </ul> <div class="highlight json"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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@@ -39,7 +39,7 @@
</span><span class="s2">"rating"</span><span class="w"> </span><span class="p">:</span><span class="w"> </span><span class="mi">4</span><span class="w">
</span><span class="p">}</span><span class="w">
</span><span class="p">}</span><span class="w">
-</span></pre></td></tr></tbody></table> </div> <h2 id='2.-special-events-for-recording-changes-of-an-entity's-properties' class='header-anchors'>2. Special events for recording changes of an entity's properties</h2><p>The generic events described above are used to record general actions performed by the entity. However, an entity may have properties (or attributes) associated with it. Morever, the properties of the entity may change over time (for example, user may have new address, item may have new categories). In order to record such changes of an entity's properties. Special events <code>$set</code> , <code>$unset</code> and <code>$delete</code> are introduced.</p><p>The following special events are reserved for updating entities and their properties:</p> <ul> <li> <code>"$set"</code> event: Set properties of an entity (also implicitly create the entity). To change properties of entity, you simply set the corresponding properties with value again. The <code
>$set</code> events should be created only when: <ul> <li> The entity is <em>first</em> created (or re-create after <code>$delete</code> event), or</li> <li> Set the entity's existing or new properties to new values (For example, user updates his email, user adds a phone number, item has a updated categories)</li> </ul></li> <li> <code>"$unset"</code> event: Unset properties of an entity. It means treating the specified properties as not existing anymore. Note that the field <code>properties</code> cannot be empty for <code>$unset</code> event.</li> <li> <code>"$delete"</code> event: delete the entity.</li> </ul> <p>There is no <code>targetEntityId</code> for these special events.</p><p>For example, setting entity <code>user-1</code>'s properties <code>birthday</code> and <code>address</code>:</p><div class="highlight json"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</span></pre></td></tr></tbody></table> </div> <h2 id='2.-special-events-for-recording-changes-of-an-entity's-properties' class='header-anchors'>2. Special events for recording changes of an entity's properties</h2><p>The generic events described above are used to record general actions performed by the entity. However, an entity may have properties (or attributes) associated with it. Moreover, the properties of the entity may change over time (for example, user may have new address, item may have new categories). In order to record such changes of an entity's properties. Special events <code>$set</code> , <code>$unset</code> and <code>$delete</code> are introduced.</p><p>The following special events are reserved for updating entities and their properties:</p> <ul> <li> <code>"$set"</code> event: Set properties of an entity (also implicitly create the entity). To change properties of entity, you simply set the corresponding properties with value again. The <cod
e>$set</code> events should be created only when: <ul> <li> The entity is <em>first</em> created (or re-create after <code>$delete</code> event), or</li> <li> Set the entity's existing or new properties to new values (For example, user updates his email, user adds a phone number, item has a updated categories)</li> </ul></li> <li> <code>"$unset"</code> event: Unset properties of an entity. It means treating the specified properties as not existing anymore. Note that the field <code>properties</code> cannot be empty for <code>$unset</code> event.</li> <li> <code>"$delete"</code> event: delete the entity.</li> </ul> <p>There is no <code>targetEntityId</code> for these special events.</p><p>For example, setting entity <code>user-1</code>'s properties <code>birthday</code> and <code>address</code>:</p><div class="highlight json"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -56,7 +56,7 @@
</span><span class="s2">"address"</span><span class="w"> </span><span class="p">:</span><span class="w"> </span><span class="s2">"1234 Street, San Francisco, CA 94107"</span><span class="w">
</span><span class="p">}</span><span class="w">
</span><span class="p">}</span><span class="w">
-</span></pre></td></tr></tbody></table> </div> <p><strong>Note</strong> that the properties values of the entity will be aggregated based on these special events and the eventTime. The state of the entity is different depending on the time you are looking at the data. In engine's DataSource, you can use <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.data.store.PEventStore$">PEventStore.aggregateProperties() API</a> to retrieve the state of entity's properties (based on time).</p><div class="alert-message note"><p>Although it doesn't hurt to import duplicated special events for an entity (exactly same properties) into event server (it just means that the entity changes to the same state as before and new duplicated event provides no new information about the user), it could waste storage space.</p></div><p>To demonstrate the concept of these special events, we are going to import a sequence of events and see how it affects the retrieved enti
tiy's properties.</p><p>Assuming you have created the App (named "MyTestApp") for testing and Event Server is started.</p><h4 id='event-1' class='header-anchors'>Event 1</h4><p>For example, on <code>2014-09-09T...</code>, a user with ID "2" is newly added in your application. Also, this user has properties a = 3 and b = 4. To record such event, we can create a <code>$set</code> event for the user.</p><p>for convenience, assign the ACCESS_KEY of your test app to the shell variable <code>ACCESS_KEY</code> and run following curl command to import the event:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</span></pre></td></tr></tbody></table> </div> <p><strong>Note</strong> that the properties values of the entity will be aggregated based on these special events and the eventTime. The state of the entity is different depending on the time you are looking at the data. In engine's DataSource, you can use <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.data.store.PEventStore$">PEventStore.aggregateProperties() API</a> to retrieve the state of entity's properties (based on time).</p><div class="alert-message note"><p>Although it doesn't hurt to import duplicated special events for an entity (exactly same properties) into event server (it just means that the entity changes to the same state as before and new duplicated event provides no new information about the user), it could waste storage space.</p></div><p>To demonstrate the concept of these special events, we are going to import a sequence of events and see how it affects the retrieved enti
ty's properties.</p><p>Assuming you have created the App (named "MyTestApp") for testing and Event Server is started.</p><h4 id='event-1' class='header-anchors'>Event 1</h4><p>For example, on <code>2014-09-09T...</code>, a user with ID "2" is newly added in your application. Also, this user has properties a = 3 and b = 4. To record such event, we can create a <code>$set</code> event for the user.</p><p>for convenience, assign the ACCESS_KEY of your test app to the shell variable <code>ACCESS_KEY</code> and run following curl command to import the event:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -96,7 +96,7 @@ Content-Type: application/json; <span class="nv">charset</span><span class="o">=
Content-Length: 57
<span class="o">{</span><span class="s2">"eventId"</span>:<span class="s2">"PVjOIP6AJ5PgsiGQW6pgswAAAUhc7EwZpCfSj5bS5yg"</span><span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>After this eventTime, user-2 is created and has properties of a = 3 and b = 4.</p><h4 id='event-2' class='header-anchors'>Event 2</h4><p>Then, on <code>2014-09-10T...</code>, let's say the user has updated the properties b = 5 and c = 6. To record such propertiy change, create another <code>$set</code> event. Run the following command:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>After this eventTime, user-2 is created and has properties of a = 3 and b = 4.</p><h4 id='event-2' class='header-anchors'>Event 2</h4><p>Then, on <code>2014-09-10T...</code>, let's say the user has updated the properties b = 5 and c = 6. To record such property change, create another <code>$set</code> event. Run the following command:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -194,7 +194,7 @@ Array<span class="o">((</span>2,PropertyMap<span class="o">(</span>Map<span clas
</pre></td></tr></tbody></table> </div> <p>Let's say we want to retrieve the state of user 2 properties with only events 1 and event 2 imported. To do that, we can specify the untilTime (aggregate the user properties with events up to the specified time) in the API.</p><p>Run the following in the pio-shell. the untilTime is set to DateTime(2014, 9, 11, 0, 0) which is the time right before event 3.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="gp">scala> </span>import org.joda.time.DateTime
<span class="gp">scala> </span>PEventStore.aggregateProperties<span class="o">(</span><span class="nv">appName</span><span class="o">=</span>appName, <span class="nv">entityType</span><span class="o">=</span><span class="s2">"user"</span>, <span class="nv">untilTime</span><span class="o">=</span>Some<span class="o">(</span>new DateTime<span class="o">(</span>2014, 9, 11, 0, 0<span class="o">)))(</span>sc<span class="o">)</span>.collect<span class="o">()</span>
-</pre></td></tr></tbody></table> </div> <p>You should see the following ouptut and the aggregated properties matches what we expected as described earlier (right befor event 3): user-2 has properties of a = 3, b = 5 and c = 6.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>You should see the following ouptut and the aggregated properties matches what we expected as described earlier (right before event 3): user-2 has properties of a = 3, b = 5 and c = 6.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre>res2: Array[<span class="o">(</span>String, org.apache.predictionio.data.storage.PropertyMap<span class="o">)]</span> <span class="o">=</span>
Array<span class="o">((</span>2,PropertyMap<span class="o">(</span>Map<span class="o">(</span>b -> JInt<span class="o">(</span>5<span class="o">)</span>, a -> JInt<span class="o">(</span>3<span class="o">)</span>, c -> JInt<span class="o">(</span>6<span class="o">))</span>, 2014-09-09T16:17:42.937-08:00, 2014-09-10T13:12:04.937-08:00<span class="o">))</span>
</pre></td></tr></tbody></table> </div> <p>As you have seen in the example above, the state of user-2 is different depending on the available events or the time you are looking at the data. Recording events in logging fashioned allows us to re-construct the state the entity according to the time.</p><h2 id='3.-batch-events-to-the-eventserver' class='header-anchors'>3. Batch Events to the EventServer</h2><p>Using a different REST address on the usual EventServer port, as of PredictionIO 0.9.5 you can send batches of up to 50 events as a time. The format is as described above but the JSON payload is packaged as an array of Event objects.</p><p><strong>Response:</strong></p> <ul> <li>Status: <ul> <li>200 on success if we can return an array data in the response even when some events fail (e.g. because of ill-format). Client needs to check individual dictionary to verify all events were successfully created.</li> <li>400 otherwise. Perhaps exceeded 50 events?</li> </ul></li> <li>Data: a
n array of dictionaries each of which contains either following keys <ul> <li>“status”: 201 if the event was successfully created; otherwise, 400.</li> <li>"eventID": the value is the eventID if the event is successfully created and</li> <li>"message": the error message string if any error occurs during creation</li> </ul></li> </ul> <p>The order in the response array is corresponding to the order of the request array. However, the events might be imported in any order.</p><h3 id='sample-request:' class='header-anchors'>Sample Request:</h3><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/demo/tapster/index.html
----------------------------------------------------------------------
diff --git a/demo/tapster/index.html b/demo/tapster/index.html
index 8ad13a3..ff74fe8 100644
--- a/demo/tapster/index.html
+++ b/demo/tapster/index.html
@@ -261,7 +261,7 @@ queryPIO: <span class="k">function</span><span class="o">()</span> <span class="
render json: @episode
end
-</pre></td></tr></tbody></table> </div> <p>On the first line we make a connection to Apache PredictionIO. You will need to set the <code>PIO_ENGINE_URL</code>. This can be done in the <code>.env</code> file. The default URL is: <a href="http://localhost:8000">http://localhost:8000</a>.</p><p>Next we decode the JSON sent from the browser.</p><p>After that we check to see if the user has liked anything yet. If not we just return a random episode.</p><p>If the user has likes then we can send that data to Apache PredictionIO event server.</p><p>We also blacklist the dislikes so that they are not returned.</p><p>With our response from Apache PredictionIO it’s just a matter of looking it up in the database and rendering that object as JSON.</p><p>Once the response is sent to the browser JavaScript is used to replace the existing comic and hide the loading message.</p><p>Thats it. You’re done! If Ruby is not your language of choice check out our other <a href="http://predictionio.apach
e.org/sdk/">SDKs</a> and remember you can always interact with the Event Server though it’s native JSON API.</p><h2 id='links' class='header-anchors'>Links</h2><p>Source code is on GitHub at: <a href="https://github.com/PredictionIO/Demo-Tapster">github.com/PredictionIO/Demo-Tapster</a></p><h2 id='conclusion' class='header-anchors'>Conclusion</h2><p>Love this tutorial and Apache PredictionIO? Both are open source (Apache 2 License). <a href="https://github.com/PredictionIO/Demo-Tapster">Fork</a> this demo and build upon it. If you produce something cool shoot us an email and we will link to it from here.</p><p>Found a typo? Think something should be explained better? This tutorial (and all our other documenation) live in the main repo <a href="https://github.com/apache/predictionio/blob/livedoc/docs/manual/source/demo/tapster.html.md">here</a>. Our documentation is in the <code>livedoc</code> branch. Find out how to contribute documentation at <a href="http://predictionio.apache.o
rg/community/contribute-documentation/">http://predictionio.apache.org/community/contribute-documentation/</a>].</p><p>We ♥ pull requests!</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/contribute-code/" target="blank">Contrib
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tton" href="https://github.com/apache/predictionio" data-icon="octicon-star" data-show-count="true" aria-label="Star apache/predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/predictionio/fork" data-icon="octicon-repo-forked" data-show-count="true" aria-label="Fork apache/predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js"></script><a href="https://twitter.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="https://www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5c57939c.png"/></a> </div></div></div></div></div></footer></div><script>(function(w,d,t,u,n,s,e){w['SwiftypeObject']=n;w[n]=w[n]||function(){
+</pre></td></tr></tbody></table> </div> <p>On the first line we make a connection to Apache PredictionIO. You will need to set the <code>PIO_ENGINE_URL</code>. This can be done in the <code>.env</code> file. The default URL is: <a href="http://localhost:8000">http://localhost:8000</a>.</p><p>Next we decode the JSON sent from the browser.</p><p>After that we check to see if the user has liked anything yet. If not we just return a random episode.</p><p>If the user has likes then we can send that data to Apache PredictionIO event server.</p><p>We also blacklist the dislikes so that they are not returned.</p><p>With our response from Apache PredictionIO it’s just a matter of looking it up in the database and rendering that object as JSON.</p><p>Once the response is sent to the browser JavaScript is used to replace the existing comic and hide the loading message.</p><p>Thats it. You’re done! If Ruby is not your language of choice check out our other <a href="http://predictionio.apach
e.org/sdk/">SDKs</a> and remember you can always interact with the Event Server though it’s native JSON API.</p><h2 id='links' class='header-anchors'>Links</h2><p>Source code is on GitHub at: <a href="https://github.com/PredictionIO/Demo-Tapster">github.com/PredictionIO/Demo-Tapster</a></p><h2 id='conclusion' class='header-anchors'>Conclusion</h2><p>Love this tutorial and Apache PredictionIO? Both are open source (Apache 2 License). <a href="https://github.com/PredictionIO/Demo-Tapster">Fork</a> this demo and build upon it. If you produce something cool shoot us an email and we will link to it from here.</p><p>Found a typo? Think something should be explained better? This tutorial (and all our other documentation) live in the main repo <a href="https://github.com/apache/predictionio/blob/livedoc/docs/manual/source/demo/tapster.html.md">here</a>. Our documentation is in the <code>livedoc</code> branch. Find out how to contribute documentation at <a href="http://predictionio.apache.
org/community/contribute-documentation/">http://predictionio.apache.org/community/contribute-documentation/</a>].</p><p>We ♥ pull requests!</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/contribute-code/" target="blank">Contri
bute</a></li><li><a href="//github.com/apache/predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscribe@predictionio.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images/logos/logo-white-d1e9c6e6.png"/><span>®</span></div><div id="social-icons-wrapper"><a class="github-b
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[11/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/gallery/template-gallery/index.html
----------------------------------------------------------------------
diff --git a/gallery/template-gallery/index.html b/gallery/template-gallery/index.html
index f5c1f06..dcbde19 100644
--- a/gallery/template-gallery/index.html
+++ b/gallery/template-gallery/index.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html><html><head><title>Engine Template Gallery</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Engine Template Gallery"/><link rel="canonical" href="https://predictionio.apache.org/gallery/template-gallery/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/math
jax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div
class="hidden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Browse</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3">
<nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="
/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitorin
g Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul
><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</
span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a><
/li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recomme
ndation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evalua
tor</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final"
href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="fina
l" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final active" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span>
</a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Commu
nity Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation<
/span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Engine Template Gallery</a><span class="spacer">></span></li><li><span class="last">Browse</span></li></ul></div><div id="page-title"><h1>Engine Template Gallery</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" hre
f="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/gallery/template-gallery.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Engine Template Gallery</a><span class="spacer">></span></li><li><span class="last">Browse</span></li></ul></div><div id="page-title"><h1>Engine Template Gallery</h1></div></div><div class="content"><p>Pick a tab for the type of template you are looking for. Some still need to be ported (a simple process) to Apache PIO and these are marked. Also see each Template description for special support instructions.</p><div class="tabs"> <ul class="control"> <li data-lang=""><a href="#tab-4c36ca3a-b4e6-4bcd-9e88-ea172c751752">Recommenders</a></li> <li data-lang=""><a href="#tab-f0f477f3-5aa8-4beb-8b69-1723e7782bbc">Classification</a></li> <li data-lang=""><a href="#tab-0a10b8cd-ed63-4704-9803
-92191b9febff">Regression</a></li> <li data-lang=""><a href="#tab-cda2f631-e1b2-4f6d-912e-2b5b01508456">NLP</a></li> <li data-lang=""><a href="#tab-193be35e-410f-470d-8680-7263ec089d66">Clustering</a></li> <li data-lang=""><a href="#tab-61ff53e0-5fd5-4145-a981-6e1a74799e50">Similarity</a></li> <li data-lang=""><a href="#tab-6a7196dd-d74d-4ec9-acc0-eb83377b418a">Other</a></li> </ul> <div data-tab="Recommenders" id="tab-4c36ca3a-b4e6-4bcd-9e88-ea172c751752"> <h3><a href="https://github.com/actionml/universal-recommender">The Universal Recommender</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=actionml&repo=universal-recommender&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Use for: </p> <ul class="tab-list"> <li class="tab-list-element">Personalized recommendations—user-based</li> <li class="tab-list-element">Similar items—item-based</li> <li class="tab-list-element">Viewed this bought that�
�item-based cross-action</li> <li class="tab-list-element">Popular Items and User-defined ranking</li> <li class="tab-list-element">Item-set recommendations for complimentarty purchases or shopping carts—item-set-based</li> <li class="tab-list-element">Hybrid collaborative filtering and content based recommendations—limited content-based</li> <li class-tab-list-element>Business rules</li> </ul> <p>The name "Universal" refers to the use of this template in virtually any case that calls for recommendations - ecommerce, news, videos, virtually anywhere user behavioral data is known. This recommender uses the new <a href="http://mahout.apache.org/users/algorithms/intro-cooccurrence-spark.html">Cross-Occurrence (CCO) algorithm</a> to auto-correlate different user actions (clickstream data), profile data, contextual information (location, device), and some content types to make better recommendations. It also implements flexible filters and boosts for implementing business rules.</p>
<p>Support: <a href="https://groups.google.com/forum/#!forum/actionml-user">The Universal Recommender user group</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/apache/predictionio-template-recommender">Recommendation</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=apache&repo=predictionio-template-recommender&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> An engine template is an almost-complete implementation of an engine. PredictionIO's Recommendation Engine Template has integrated Apache Spark MLlib's Collaborative Filtering algorithm by default. You can customize it easily to fit your specific n
eeds. </p> <p>Support: <a href="http://predictionio.apache.org/support/">Apache PredictionIO mailing lists</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/apache/predictionio-template-ecom-recommender">E-Commerce Recommendation</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=apache&repo=predictionio-template-ecom-recommender&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This engine template provides personalized recommendation for e-commerce applications with the following features by default: </p> <ul class="tab-list"> <li class="tab-list-element">Exclude out-of-stock items</li> <li class="tab-list
-element">Provide recommendation to new users who sign up after the model is trained</li> <li class="tab-list-element">Recommend unseen items only (configurable)</li> <li class="tab-list-element">Recommend popular items if no information about the user is available (added in template version v0.4.0)</li> </ul> <p>Support: <a href="http://predictionio.apache.org/support/">Apache PredictionIO mailing lists</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/apache/predictionio-template-similar-product">Similar Product</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=apache&repo=predictionio-template-similar-product&type=star&count=true" frameborder="0" align="middle" s
crolling="0" width="170px" height="20px"></iframe> <p> This engine template recommends products that are "similar" to the input product(s). Similarity is not defined by user or item attributes but by users' previous actions. By default, it uses 'view' action such that product A and B are considered similar if most users who view A also view B. The template can be customized to support other action types such as buy, rate, like..etc </p> <p>Support: <a href="http://predictionio.apache.org/support/">Apache PredictionIO mailing lists</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/apache/predictionio-template-java-ecom-recommender">E-Commerce Recommendation (Java)</a></h3> <iframe src="htt
ps://ghbtns.com/github-btn.html?user=apache&repo=predictionio-template-java-ecom-recommender&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This engine template provides personalized recommendation for e-commerce applications with the following features by default: </p> <ul class="tab-list"> <li class="tab-list-element">Exclude out-of-stock items</li> <li class="tab-list-element">Provide recommendation to new users who sign up after the model is trained</li> <li class="tab-list-element">Recommend unseen items only (configurable)</li> <li class="tab-list-element">Recommend popular items if no information about the user is available</li> </ul> <p>Support: <a href="http://predictionio.apache.org/support/">Apache PredictionIO mailing lists</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Paralle
l</td> <td>Java</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.3</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/PredictionIO/template-scala-parallel-productranking">Product Ranking</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=PredictionIO&repo=template-scala-parallel-productranking&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This engine template sorts a list of products for a user based on his/her preference. This is ideal for personalizing the display order of product page, catalog, or menu items if you have large number of options. It creates engagement and early conversion by placing products that a user prefers on the top. </p> <p>Support: </p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apa
che Licence 2.0</td> <td>stable</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/PredictionIO/template-scala-parallel-complementarypurchase">Complementary Purchase</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=PredictionIO&repo=template-scala-parallel-complementarypurchase&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This engine template recommends the complementary items which most user frequently buy at the same time with one or more items in the query. </p> <p>Support: </p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/vaibhavist/template-scala-parallel-recomm
endation">Music Recommendations</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=vaibhavist&repo=template-scala-parallel-recommendation&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This is very similar to music recommendations template. It is integrated with all the events a music application can have such as song played, liked, downloaded, purchased, etc. </p> <p>Support: <a href="https://github.com/vaibhavist/template-scala-parallel-recommendation/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/vngrs/template-scala-parallel-viewedthenbought">Viewed This Bought That</a></h3> <iframe src="
https://ghbtns.com/github-btn.html?user=vngrs&repo=template-scala-parallel-viewedthenbought&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This Engine uses co-occurrence algorithm to match viewed items to bought items. Using this engine you may predict which item the user will buy, given the item(s) browsed. </p> <p>Support: <a href="https://github.com/vngrs/template-scala-parallel-viewedthenbought/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/goliasz/pio-template-fpm">Frequent Pattern Mining</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=goliasz&repo=pio-template-fpm&type=star&
amp;count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Template uses FP Growth algorithm allowing to mine for frequent patterns. Template returns subsequent items together with confidence score. Sometimes used as a shopping cart recommender but has other uses. </p> <p>Support: <a href="https://github.com/goliasz/pio-template-fpm/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.5</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/ramaboo/template-scala-parallel-similarproduct-with-rating">Similar Product with Rating</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=ramaboo&repo=template-scala-parallel-similarproduct-with-rating&type=star&count=true" frameborde
r="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Similar product template with rating support! Used for the MovieLens Demo. </p> <p>Support: <a href="https://github.com/ramaboo/template-scala-parallel-similarproduct-with-rating/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>beta</td> <td>0.9.0</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/goliasz/pio-template-fpm">Frequent Pattern Mining</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=goliasz&repo=pio-template-fpm&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Template uses FP Growth algorithm allowing to mine for frequent patterns. Template returns subsequent items together wi
th confidence score. </p> <p>Support: <a href="https://github.com/goliasz/pio-template-fpm/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.5</td> <td>requires conversion</td> </tr> </table> <br> </div> <div data-tab="Classification" id="tab-f0f477f3-5aa8-4beb-8b69-1723e7782bbc"> <h3><a href="https://github.com/apache/predictionio-template-attribute-based-classifier">Classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=apache&repo=predictionio-template-attribute-based-classifier&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> An engine template is an almost-complete implementation of an engine. PredictionIO's Classification Engine Template has integrated Apache Spark M
Llib's Naive Bayes algorithm by default. </p> <p>Support: <a href="http://predictionio.apache.org/support/">Apache PredictionIO mailing lists</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.9.2</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/haricharan123/PredictionIo-lingpipe-MultiLabelClassification">Classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=haricharan123&repo=PredictionIo-lingpipe-MultiLabelClassification&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This engine template is an almost-complete implementation of an engine meant to used with PredictionIO. This Multi-label Classification Engine Template has integrated LingPipe (http://alias-i
.com/lingpipe/) algorithm by default. </p> <p>Support: </p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Java</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.9.5</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/PredictionIO/template-scala-parallel-leadscoring">Lead Scoring</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=PredictionIO&repo=template-scala-parallel-leadscoring&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This engine template predicts the probability of an user will convert (conversion event by user) in the current session. </p> <p>Support: </p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Par
allel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/apache/predictionio-template-text-classifier">Text Classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=apache&repo=predictionio-template-text-classifier&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Use this engine for general text classification purposes. Uses OpenNLP library for text vectorization, includes t.f.-i.d.f.-based feature transformation and reduction, and uses Spark MLLib's Multinomial Naive Bayes implementation for classification. </p> <p>Support: <a href="https://github.com/apache/predictionio-template-text-classifier/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>P
arallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/andrewwuan/PredictionIO-Churn-Prediction-H2O-Sparkling-Water">Churn Prediction - H2O Sparkling Water</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=andrewwuan&repo=PredictionIO-Churn-Prediction-H2O-Sparkling-Water&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This is an engine template with Sparkling Water integration. The goal is to use Deep Learning algorithm to predict the churn rate for a phone carrier's customers. </p> <p>Support: <a href="https://github.com/andrewwuan/PredictionIO-Churn-Prediction-H2O-Sparkling-Water/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>S
cala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/detrevid/predictionio-template-classification-dl4j">Classification Deeplearning4j</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=detrevid&repo=predictionio-template-classification-dl4j&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> A classification engine template that uses Deeplearning4j library. </p> <p>Support: <a href="https://github.com/detrevid/predictionio-template-classification-dl4j/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/Emer
gentOrder/template-scala-probabilistic-classifier-batch-lbfgs">Probabilistic Classifier (Logistic Regression w/ LBFGS)</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=EmergentOrder&repo=template-scala-probabilistic-classifier-batch-lbfgs&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> A PredictionIO engine template using logistic regression (trained with limited-memory BFGS ) with raw (probabilistic) outputs. </p> <p>Support: <a href="https://github.com/EmergentOrder/template-scala-probabilistic-classifier-batch-lbfgs/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>MIT License</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/chrischris292/template-classifica
tion-opennlp">Document Classification with OpenNLP</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=chrischris292&repo=template-classification-opennlp&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Document Classification template with OpenNLP GISModel. </p> <p>Support: <a href="https://github.com/chrischris292/template-classification-opennlp/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.0</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/harry5z/template-circuit-classification-sparkling-water">Circuit End Use Classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=harry5z&repo=template-circuit-classification-sparkl
ing-water&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> A classification engine template that uses machine learning models trained with sample circuit energy consumption data and end usage to predict the end use of a circuit by its energy consumption history. </p> <p>Support: <a href="https://github.com/harry5z/template-circuit-classification-sparkling-water/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.1</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/ailurus1991/GBRT_Template_PredictionIO">GBRT_Classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=ailurus1991&repo=GBRT_Template_PredictionIO&type=star&count=true" frame
border="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> The Gradient-Boosted Regression Trees(GBRT) for classification. </p> <p>Support: <a href="https://github.com/ailurus1991/GBRT_Template_PredictionIO/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/mohanaprasad1994/PredictionIO-MLlib-Decision-Trees-Template">MLlib-Decision-Trees-Template</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=mohanaprasad1994&repo=PredictionIO-MLlib-Decision-Trees-Template&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> An engine template is an almost-complete implementation of an engine
. This is a classification engine template which has integrated Apache Spark MLlib's Decision tree algorithm by default. </p> <p>Support: <a href="https://github.com/mohanaprasad1994/PredictionIO-MLlib-Decision-Trees-Template/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.0</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/jimmyywu/predictionio-template-classification-dl4j-multilayer-network">Classification with MultiLayerNetwork</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=jimmyywu&repo=predictionio-template-classification-dl4j-multilayer-network&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This engine template integrates the MultiLay
erNetwork implementation from the Deeplearning4j library into PredictionIO. In this template, we use PredictionIO to classify the widely-known IRIS flower dataset by constructing a deep-belief net. </p> <p>Support: <a href="https://github.com/jimmyywu/predictionio-template-classification-dl4j-multilayer-network/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.0</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/thomasste/template-scala-parallel-dl4j-rntn">Deeplearning4j RNTN</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=thomasste&repo=template-scala-parallel-dl4j-rntn&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Recursive Neural Tensor Net
work algorithm is supervised learning algorithm used to predict sentiment of sentences. This template is based on deeplearning4j RNTN example: https://github.com/SkymindIO/deeplearning4j-nlp-examples/tree/master/src/main/java/org/deeplearning4j/rottentomatoes/rntn. It's goal is to show how to integrate deeplearning4j library with PredictionIO. </p> <p>Support: <a href="https://github.com/thomasste/template-scala-parallel-dl4j-rntn/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/singsanj/classifier-kafka-streaming-template">classifier-kafka-streaming-template</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=singsanj&repo=classifier-kafka-streaming-template&
type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> The template will provide a simple integration of DASE with kafka using spark streaming capabilities in order to play around with real time notification, messages .. </p> <p>Support: <a href="https://github.com/singsanj/classifier-kafka-streaming-template/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>-</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/peoplehum/BagOfWords_SentimentAnalysis_Template">Sentiment Analysis - Bag of Words Model</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=peoplehum&repo=BagOfWords_SentimentAnalysis_Template&type=star&count=true" frameborder="0" align="middle" scr
olling="0" width="170px" height="20px"></iframe> <p> This sentiment analysis template uses a bag of words model. Given text, the engine will return sentiment as 1.0 (positive) or 0.0 (negative) along with scores indicating how +ve or -ve it is. </p> <p>Support: <a href="https://github.com/peoplehum/BagOfWords_SentimentAnalysis_Template/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/jpioug/predictionio-template-iris">Classification template for Iris</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=jpioug&repo=predictionio-template-iris&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <
p> This is Python(PySpark) based classification example for Iris dataset. </p> <p>Support: </p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Python</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.12.0-incubating</td> <td></td> </tr> </table> <br> </div> <div data-tab="Regression" id="tab-0a10b8cd-ed63-4704-9803-92191b9febff"> <h3><a href="https://github.com/goliasz/pio-template-sr">Survival Regression</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=goliasz&repo=pio-template-sr&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Survival regression template is based on brand new Spark 1.6 AFT (accelerated failure time) survival analysis algorithm. There are interesting applications of survival analysis like: </p> <ul class="tab-list"> <li class="tab-list-element"
>Business Planning : Profiling customers who has a higher survival rate and make strategy accordingly.</li> <li class="tab-list-element">Lifetime Value Prediction : Engage with customers according to their lifetime value</li> <li class="tab-list-element">Active customers : Predict when the customer will be active for the next time and take interventions accordingly. * Campaign evaluation : Monitor effect of campaign on the survival rate of customers.</li> </ul> Source: http://www.analyticsvidhya.com/blog/2014/04/survival-analysis-model-you/ <p>Support: <a href="http://www.analyticsvidhya.com/blog/2014/04/survival-analysis-model-you/">Blog post</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>beta</td> <td>0.9.5</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/BensonQi
u/predictionio-template-recommendation-sparklingwater">Sparkling Water-Deep Learning Energy Forecasting</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=BensonQiu&repo=predictionio-template-recommendation-sparklingwater&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This Engine Template demonstrates an energy forecasting engine. It integrates Deep Learning from the Sparkling Water library to perform energy analysis. We can query the circuit and time, and return predicted energy usage. </p> <p>Support: <a href="https://github.com/BensonQiu/predictionio-template-recommendation-sparklingwater/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr>
</table> <br> <h3><a href="https://github.com/detrevid/predictionio-load-forecasting">Electric Load Forecasting</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=detrevid&repo=predictionio-load-forecasting&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This is a PredictionIO engine for electric load forecasting. The engine is using linear regression with stochastic gradient descent from Spark MLlib. </p> <p>Support: <a href="https://github.com/detrevid/predictionio-load-forecasting/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/RAditi/PredictionIO-MLLib-LinReg-Template">MLLib-LinearRegress
ion</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=RAditi&repo=PredictionIO-MLLib-LinReg-Template&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This template uses the linear regression with stochastic gradient descent algorithm from MLLib to make predictions on real-valued data based on features (explanatory variables) </p> <p>Support: <a href="https://github.com/RAditi/PredictionIO-MLLib-LinReg-Template/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.1</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/mgcdanny/pio-linear-regression-bfgs">Linear Regression BFGS</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=mgcdanny&repo
=pio-linear-regression-bfgs&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Modeling the relationship between a dependent variable, y, and one or more explanatory variables, denoted X. </p> <p>Support: </p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>beta</td> <td>0.10.0</td> <td></td> </tr> </table> <br> <h3><a href="https://github.com/jpioug/predictionio-template-boston-house-prices">Regression template for Boston House Prices</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=jpioug&repo=predictionio-template-boston-house-prices&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This is Python(PySpark) based regression example for Boston House Prices datase
t. </p> <p>Support: </p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Python</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.12.0-incubating</td> <td></td> </tr> </table> <br> </div> <div data-tab="NLP" id="tab-cda2f631-e1b2-4f6d-912e-2b5b01508456"> <h3><a href="https://github.com/goliasz/pio-template-text-similarity">Cstablo-template-text-similarity-classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=goliasz&repo=pio-template-text-similarity&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Text similarity engine based on Word2Vec algorithm. Builds vectors of full documents in training phase. Finds similar documents in query phase. </p> <p>Support: <a href="https://github.com/goliasz/pio-template-text-similarity/issues">Github issues</a></p> <br> <
table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.5</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/rajdeepd/template-Labelling-Topics-with-wikipedia">Topic Labelling with Wikipedia</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=rajdeepd&repo=template-Labelling-Topics-with-wikipedia&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This template will label topics (e.g. topic generated through LDA topic modeling) with relevant category by referring to Wikipedia as a knowledge base. </p> <p>Support: <a href="https://github.com/peoplehum/template-Labelling-Topics-with-wikipedia/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Stat
us</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/apache/predictionio-template-text-classifier">Text Classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=apache&repo=predictionio-template-text-classifier&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Use this engine for general text classification purposes. Uses OpenNLP library for text vectorization, includes t.f.-i.d.f.-based feature transformation and reduction, and uses Spark MLLib's Multinomial Naive Bayes implementation for classification. </p> <p>Support: <a href="https://github.com/apache/predictionio-template-text-classifier/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License
</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/thomasste/template-scala-parallel-dl4j-rntn">Deeplearning4j RNTN</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=thomasste&repo=template-scala-parallel-dl4j-rntn&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Recursive Neural Tensor Network algorithm is supervised learning algorithm used to predict sentiment of sentences. This template is based on deeplearning4j RNTN example: https://github.com/SkymindIO/deeplearning4j-nlp-examples/tree/master/src/main/java/org/deeplearning4j/rottentomatoes/rntn. It's goal is to show how to integrate deeplearning4j library with PredictionIO. </p> <p>Support: <a href="https://github.com/thomasste/tem
plate-scala-parallel-dl4j-rntn/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/peoplehum/BagOfWords_SentimentAnalysis_Template">Sentiment Analysis - Bag of Words Model</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=peoplehum&repo=BagOfWords_SentimentAnalysis_Template&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This sentiment analysis template uses a bag of words model. Given text, the engine will return sentiment as 1.0 (positive) or 0.0 (negative) along with scores indicating how +ve or -ve it is. </p> <p>Support: <a href="https://github.com/peoplehum/BagOfWords_SentimentAnalysis_Templ
ate/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/infoquestsolutions/OpenNLP-SentimentAnalysis-Template">OpenNLP Sentiment Analysis Template</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=infoquestsolutions&repo=OpenNLP-SentimentAnalysis-Template&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Given a sentence, this engine will return a score between 0 and 4. This is the sentiment of the sentence. The lower the number the more negative the sentence is. It uses the OpenNLP library. </p> <p>Support: <a href="https://github.com/infoquestsolutions/OpenNLP-SentimentAnalysis-Templat
e/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>beta</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/pawel-n/template-scala-cml-sentiment">Sentiment analysis</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=pawel-n&repo=template-scala-cml-sentiment&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This template implements various algorithms for sentiment analysis, most based on recursive neural networks (RNN) and recursive neural tensor networks (RNTN)[1]. It uses an experimental library called Composable Machine Learning (CML) and the Stanford Parser. The example data set is the Stanford Sentiment Treebank. </p> <p>Support: <a href="
https://github.com/pawel-n/template-scala-cml-sentiment/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/pawel-n/template-scala-parallel-word2vec">Word2Vec</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=pawel-n&repo=template-scala-parallel-word2vec&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This template integrates the Word2Vec implementation from deeplearning4j with PredictionIO. The Word2Vec algorithm takes a corpus of text and computes a vector representation for each word. These representations can be subsequently used in many natural language processing applications. </p> <p>Suppor
t: <a href="https://github.com/pawel-n/template-scala-parallel-word2vec/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.0</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/thomasste/template-scala-spark-dl4j-word2vec">Spark Deeplearning4j Word2Vec</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=thomasste&repo=template-scala-spark-dl4j-word2vec&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This template shows how to integrate Deeplearnign4j spark api with PredictionIO on example of app which uses Word2Vec algorithm to predict nearest words. </p> <p>Support: <a href="https://github.com/thomasste/template-scala-spark-dl4j-word2vec/issues">Gith
ub issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/whhone/template-sentiment-analysis">Sentiment Analysis Template</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=whhone&repo=template-sentiment-analysis&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Given a sentence, return a score between 0 and 4, indicating the sentence's sentiment. 0 being very negative, 4 being very positive, 2 being neutral. The engine uses the stanford CoreNLP library and the Scala binding `gangeli/CoreNLP-Scala` for parsing. </p> <p>Support: <a href="https://github.com/whhone/template-sentiment-analysis/issues">Github issues</a></
p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>None</td> <td>stable</td> <td>0.9.0</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/thomasste/template-scala-rnn">Recursive Neural Networks (Sentiment Analysis)</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=thomasste&repo=template-scala-rnn&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Predicting sentiment of phrases with use of Recursive Neural Network algorithm and OpenNLP parser. </p> <p>Support: <a href="https://github.com/thomasste/template-scala-rnn/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>
Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/Ling-Ling/CoreNLP-Text-Classification">CoreNLP Text Classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=Ling-Ling&repo=CoreNLP-Text-Classification&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This engine uses CoreNLP to do text analysis in order to classify the category a strings of text falls under. </p> <p>Support: <a href="https://github.com/Ling-Ling/CoreNLP-Text-Classification/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>-</td> <td>requires conversion</td> </tr> </table> <br> </div> <div data-tab="Clustering" id
="tab-193be35e-410f-470d-8680-7263ec089d66"> <h3><a href="https://github.com/sahiliitm/predictionio-MLlibKMeansClusteringTemplate">MLlibKMeansClustering</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=sahiliitm&repo=predictionio-MLlibKMeansClusteringTemplate&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This is a template which demonstrates the use of K-Means clustering algorithm which can be deployed on a spark-cluster using prediction.io. </p> <p>Support: <a href="https://github.com/sahiliitm/predictionio-MLlibKMeansClusteringTemplate/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>-</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/EmergentO
rder/template-scala-topic-model-LDA">Topc Model (LDA)</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=EmergentOrder&repo=template-scala-topic-model-LDA&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> A PredictionIO engine template using Latent Dirichlet Allocation to learn a topic model from raw text </p> <p>Support: <a href="https://github.com/EmergentOrder/template-scala-topic-model-LDA/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.4</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/singsanj/KMeans-parallel-template">KMeans-Clustering-Template</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=singsanj&repo=KMeans-parallel-
template&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> forked from PredictionIO/template-scala-parallel-vanilla. It implements the KMeans Algorithm. Can be extended to mainstream implementation with minor changes. </p> <p>Support: <a href="https://github.com/singsanj/KMeans-parallel-template/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/rajdeepd/template-Labelling-Topics-with-wikipedia">Topic Labelling with Wikipedia</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=rajdeepd&repo=template-Labelling-Topics-with-wikipedia&type=star&count=true" frameborder="0" align="middle" scrolling
="0" width="170px" height="20px"></iframe> <p> This template will label topics (e.g. topic generated through LDA topic modeling) with relevant category by referring to Wikipedia as a knowledge base. </p> <p>Support: <a href="https://github.com/peoplehum/template-Labelling-Topics-with-wikipedia/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> <h3><a href="https://github.com/jirotubuyaki/predictionio-template-crp-clustering">Bayesian Nonparametric Chinese Restaurant Process Clustering</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=jirotubuyaki&repo=predictionio-template-crp-clustering&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="
20px"></iframe> <p> Chinese restaurant process is stochastic process for statistical inference. The clustering which uses Chinese restaurant process does not need to decide the number of clusters in advance. This algorithm automatically adjusts it. </p> <p>Support: <a href="https://github.com/jirotubuyaki/predictionio-template-crp-clustering/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.10.0-incubating</td> <td>already compatible</td> </tr> </table> <br> </div> <div data-tab="Similarity" id="tab-61ff53e0-5fd5-4145-a981-6e1a74799e50"> <h3><a href="https://github.com/alexice/template-scala-parallel-svd-item-similarity">Content Based SVD Item Similarity Engine</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=alexice&repo=template-scala-parallel-svd-
item-similarity&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Template to calculate similarity between items based on their attributes—sometimes called content-based similarity. Attributes can be either numeric or categorical in the last case it will be encoded using one-hot encoder. Algorithm uses SVD in order to reduce data dimensionality. Cosine similarity is now implemented but can be easily extended to other similarity measures. </p> <p>Support: <a href="https://groups.google.com/forum/#!forum/actionml-user">The Universal Recommender user group</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.2</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/goliasz/pio-template-text-simi
larity">Cstablo-template-text-similarity-classification</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=goliasz&repo=pio-template-text-similarity&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Text similarity engine based on Word2Vec algorithm. Builds vectors of full documents in training phase. Finds similar documents in query phase. </p> <p>Support: <a href="https://github.com/goliasz/pio-template-text-similarity/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.5</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/ramaboo/template-scala-parallel-similarproduct-with-rating">Similar Product with Rating</a></h3> <iframe src="https://ghbtns.com/g
ithub-btn.html?user=ramaboo&repo=template-scala-parallel-similarproduct-with-rating&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Similar product template with rating support! Used for the MovieLens Demo. </p> <p>Support: <a href="https://github.com/ramaboo/template-scala-parallel-similarproduct-with-rating/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>beta</td> <td>0.9.0</td> <td>requires conversion</td> </tr> </table> <br> </div> <div data-tab="Other" id="tab-6a7196dd-d74d-4ec9-acc0-eb83377b418a"> <h3><a href="https://github.com/goliasz/pio-template-fpm">Frequent Pattern Mining</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=goliasz&repo=pio-template-fpm&type=star&count=true" fr
ameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Template uses FP Growth algorithm allowing to mine for frequent patterns. Template returns subsequent items together with confidence score. </p> <p>Support: <a href="https://github.com/goliasz/pio-template-fpm/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>alpha</td> <td>0.9.5</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/anthill/template-decision-tree-feature-importance">template-decision-tree-feature-importance</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=anthill&repo=template-decision-tree-feature-importance&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> This templa
te shows how to use spark' decision tree. It enables : - both categorical and continuous features - feature importance calculation - tree output in json - reading training data from a csv file </p> <p>Support: <a href="https://github.com/anthill/template-decision-tree-feature-importance/issues">Github issues</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.9.0</td> <td>requires conversion</td> </tr> </table> <br> <h3><a href="https://github.com/apache/predictionio-template-skeleton">Skeleton</a></h3> <iframe src="https://ghbtns.com/github-btn.html?user=apache&repo=predictionio-template-skeleton&type=star&count=true" frameborder="0" align="middle" scrolling="0" width="170px" height="20px"></iframe> <p> Skeleton template is for developing new engine when you find other engine
templates do not fit your needs. This template provides a skeleton to kick start new engine development. </p> <p>Support: <a href="http://predictionio.apache.org/support/">Apache PredictionIO mailing lists</a></p> <br> <table> <tr> <th>Type</th> <th>Language</th> <th>License</th> <th>Status</th> <th>PIO min version</th> <th>Apache PIO Convesion Required</th> </tr> <tr> <td>Parallel</td> <td>Scala</td> <td>Apache Licence 2.0</td> <td>stable</td> <td>0.9.2</td> <td>already compatible</td> </tr> </table> <br> </div> </div> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictio
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<nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="
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g Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul
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/li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recomme
ndation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evalua
tor</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final"
href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="fina
l" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final active" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span>
</a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final
<TRUNCATED>
[08/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/samples/tabs/index.html
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-<!DOCTYPE html><html><head><title>Tabs</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Tabs"/><link rel="canonical" href="https://predictionio.apache.org/samples/tabs/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML
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"expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integration Overview</sp
an></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class
="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacol
lection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" hr
ef="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/eval
uation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</spa
n></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a
class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</s
pan></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/quickstart/"><spa
n>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/ta
pster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1">
<a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="ht
tps://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="page-title"><h1>Tabs</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#test-syncing">Test Syncing</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/samples/tabs.html.md"><img src="/images/icons/edit-pencil-d6c1b
b3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="page-title"><h1>Tabs</h1></div></div><div class="content"> <p>This page is used to test the tabs plugin based on <a href="https://github.com/vdw/Tabslet">Tabslet</a>.</p><div class="tabs"> <ul class="control"> <li data-lang="ruby"><a href="#tab-6f14c12c-1561-4c76-b095-379ed69d3564">Ruby</a></li> <li data-lang=""><a href="#tab-8d30affe-f140-41b5-b07a-4a6d750c46d4">Plain</a></li> <li data-lang="html"><a href="#tab-3548ada5-dc6b-4f3b-94d8-6d8049f9d774">HTML</a></li> <li data-lang=""><a href="#tab-56de75d6-adc3-481c-945c-1e9d3d9ad980">Test</a></li> </ul> <div data-tab="Ruby" data-lang="ruby" id="tab-6f14c12c-1561-4c76-b095-379ed69d3564"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+<!DOCTYPE html><html><head><title>Tabs</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Tabs"/><link rel="canonical" href="https://predictionio.apache.org/samples/tabs/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML
"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden-md hidden-lg" id="mobile-page-headin
g-wrapper"><p>PredictionIO Docs</p><h4>Tabs</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class=
"expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integration Overview</sp
an></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class
="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacol
lection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" hr
ef="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/eval
uation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</spa
n></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a
class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</s
pan></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/quickstart/"><spa
n>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/ta
pster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1">
<a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="ht
tps://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="page-title"><h1>Tabs</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#test-syncing">Test Syncing</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/samples/tabs.html.md"><img src="/images/icons/edit-pencil-d6c1b
b3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="page-title"><h1>Tabs</h1></div></div><div class="content"> <p>This page is used to test the tabs plugin based on <a href="https://github.com/vdw/Tabslet">Tabslet</a>.</p><div class="tabs"> <ul class="control"> <li data-lang="ruby"><a href="#tab-ee4d3fd0-5071-431e-965d-6ffc9cca8219">Ruby</a></li> <li data-lang=""><a href="#tab-285c01d7-ff98-4f7a-b36e-dda35f0ebd29">Plain</a></li> <li data-lang="html"><a href="#tab-c03f9e04-79fc-4225-b1b2-5b67977db3af">HTML</a></li> <li data-lang=""><a href="#tab-5d274744-36a0-46e3-a430-2ccb4fff6323">Test</a></li> </ul> <div data-tab="Ruby" data-lang="ruby" id="tab-ee4d3fd0-5071-431e-965d-6ffc9cca8219"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -9,11 +9,11 @@
<span class="s1">'bar'</span>
<span class="k">end</span>
<span class="k">end</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Plain" id="tab-8d30affe-f140-41b5-b07a-4a6d750c46d4"> This is a test of **markdown** inside a tab! <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Plain" id="tab-285c01d7-ff98-4f7a-b36e-dda35f0ebd29"> This is a test of **markdown** inside a tab! <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td> <td class="code"><pre>// This tab does not have the data-lang attribute <span class="nb">set</span>!
<span class="gp">$ </span><span class="nb">cd </span>path/to/your/file
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="HTML" data-lang="html" id="tab-3548ada5-dc6b-4f3b-94d8-6d8049f9d774"> <div class="highlight html"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="nt"><p></span>Yes you can still use HTML in code blocks!<span class="nt"></p></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Test" id="tab-56de75d6-adc3-481c-945c-1e9d3d9ad980"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="HTML" data-lang="html" id="tab-c03f9e04-79fc-4225-b1b2-5b67977db3af"> <div class="highlight html"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="nt"><p></span>Yes you can still use HTML in code blocks!<span class="nt"></p></span>
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Test" id="tab-5d274744-36a0-46e3-a430-2ccb4fff6323"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -28,7 +28,7 @@ Test</span> <span class="na">5 =</span><span class="err">>
</span><span class="s">Test</span> <span class="na">6</span> <span class="err"><=</span>
<span class="na">Test</span> <span class="na">7</span> <span class="err"><</span><span class="nt">></span>
<span class="nt"><p><b></span>Test<span class="nt"></b></p></span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <h2 id='test-syncing' class='header-anchors'>Test Syncing</h2><p>Here we show a similar set of tabs to test language syncing:</p><div class="tabs"> <ul class="control"> <li data-lang="ruby"><a href="#tab-605196ec-b2c1-4c7a-8394-42dede0aa790">Ruby</a></li> <li data-lang=""><a href="#tab-fa9ba46a-6b2d-4c7f-b6d7-653d9f095dfa">Plain</a></li> <li data-lang="html"><a href="#tab-1ea574fe-5b96-456d-9519-9b87736eac4a">HTML</a></li> <li data-lang="python"><a href="#tab-293d6ae2-5301-4e63-acee-2a65919dd2d7">Python</a></li> </ul> <div data-tab="Ruby" data-lang="ruby" id="tab-605196ec-b2c1-4c7a-8394-42dede0aa790"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <h2 id='test-syncing' class='header-anchors'>Test Syncing</h2><p>Here we show a similar set of tabs to test language syncing:</p><div class="tabs"> <ul class="control"> <li data-lang="ruby"><a href="#tab-098d7ce5-1872-4137-ab57-dd2e5e325522">Ruby</a></li> <li data-lang=""><a href="#tab-b7c2b542-506a-47b0-a0dc-99801d19b6d1">Plain</a></li> <li data-lang="html"><a href="#tab-163ff3cc-5a2f-441b-b39f-1a4048a86514">HTML</a></li> <li data-lang="python"><a href="#tab-77dcda07-e67b-4934-a111-d825fb746738">Python</a></li> </ul> <div data-tab="Ruby" data-lang="ruby" id="tab-098d7ce5-1872-4137-ab57-dd2e5e325522"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -39,12 +39,12 @@ Test</span> <span class="na">5 =</span><span class="err">>
<span class="s1">'bar'</span>
<span class="k">end</span>
<span class="k">end</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Plain" id="tab-fa9ba46a-6b2d-4c7f-b6d7-653d9f095dfa"> This is a test of **markdown** inside a tab! <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Plain" id="tab-b7c2b542-506a-47b0-a0dc-99801d19b6d1"> This is a test of **markdown** inside a tab! <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td> <td class="code"><pre>// This tab does not have the data-lang attribute <span class="nb">set</span>!
<span class="gp">$ </span><span class="nb">cd </span>path/to/your/file
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="HTML" data-lang="html" id="tab-1ea574fe-5b96-456d-9519-9b87736eac4a"> <p>This HTML is <b>hard coded</b>.</p> </div> <div data-tab="Python" data-lang="python" id="tab-293d6ae2-5301-4e63-acee-2a65919dd2d7"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="c"># The other group does not have a Python tab.</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <div class="tabs"> <ul class="control"> <li data-lang="java"><a href="#tab-1fce5c6b-e06d-4f07-b0f7-9d36152544fd">Java</a></li> <li data-lang="html"><a href="#tab-bf889cee-b119-4d1d-82d6-6532450ff447">HTML</a></li> </ul> <div data-tab="Java" data-lang="java" id="tab-1fce5c6b-e06d-4f07-b0f7-9d36152544fd"> <div class="highlight plaintext"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre>// Java code..
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="HTML" data-lang="html" id="tab-bf889cee-b119-4d1d-82d6-6532450ff447"> This includes **bold** with Markdown. </div> </div> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/cont
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l-icons-wrapper"><a class="github-button" href="https://github.com/apache/predictionio" data-icon="octicon-star" data-show-count="true" aria-label="Star apache/predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/predictionio/fork" data-icon="octicon-repo-forked" data-show-count="true" aria-label="Fork apache/predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js"></script><a href="https://twitter.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="https://www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5c57939c.png"/></a> </div></div></div></div></div></footer></div><script>(function(w,d,t,u,n,s,e){w['SwiftypeObject']=n;w[n]=w[n]||function(){
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="HTML" data-lang="html" id="tab-163ff3cc-5a2f-441b-b39f-1a4048a86514"> <p>This HTML is <b>hard coded</b>.</p> </div> <div data-tab="Python" data-lang="python" id="tab-77dcda07-e67b-4934-a111-d825fb746738"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre><span class="c"># The other group does not have a Python tab.</span>
+</pre></td> </tr></tbody></table> </div> </div> </div> <div class="tabs"> <ul class="control"> <li data-lang="java"><a href="#tab-cde3eb88-df4a-40e1-9c92-81b8eaa03115">Java</a></li> <li data-lang="html"><a href="#tab-b015b351-0b95-4934-ada9-1cdec649bd0d">HTML</a></li> </ul> <div data-tab="Java" data-lang="java" id="tab-cde3eb88-df4a-40e1-9c92-81b8eaa03115"> <div class="highlight plaintext"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td> <td class="code"><pre>// Java code..
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="HTML" data-lang="html" id="tab-b015b351-0b95-4934-ada9-1cdec649bd0d"> This includes **bold** with Markdown. </div> </div> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/cont
ribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscribe@predictionio.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images/logos/logo-white-d1e9c6e6.png"/><span>®</span></div><div id="socia
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(w[n].q=w[n].q||[]).push(arguments);};s=d.createElement(t);
e=d.getElementsByTagName(t)[0];s.async=1;s.src=u;e.parentNode.insertBefore(s,e);
})(window,document,'script','//s.swiftypecdn.com/install/v1/st.js','_st');
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/sitemap.xml
----------------------------------------------------------------------
diff --git a/sitemap.xml b/sitemap.xml
index dec28f5..b3b820a 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -2,781 +2,781 @@
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
<url>
<loc>//predictionio.apache.org/datacollection/plugin/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/eventapi/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/channel/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/webhooks/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/analytics-zeppelin/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/analytics-ipynb/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/analytics-tableau/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/batchimport/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>//predictionio.apache.org/datacollection/eventmodel/</loc>
- <lastmod>2018-09-19T13:28:20+00:00</lastmod>
+ <lastmod>2018-09-20T19:01:46+00:00</lastmod>
<changefreq>monthly</changefreq>
<priority>0.5</priority>
</url>
<url>
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[03/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/productranking/quickstart/index.html
----------------------------------------------------------------------
diff --git a/templates/productranking/quickstart/index.html b/templates/productranking/quickstart/index.html
index 6d97cfe..c6924fe 100644
--- a/templates/productranking/quickstart/index.html
+++ b/templates/productranking/quickstart/index.html
@@ -32,7 +32,7 @@ Your system is all ready to go.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
-</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data for the app of this Engine. By default, the Product Ranking Engine Template supports 2 types of entities: <strong>user</strong> and <strong>item</strong>, and event <strong>view</strong>. A user can view an item. This template requires '$set' user event, '$set' item event and user-view-item events.</p> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps.
Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when a new user with id "u0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for this user. To send this event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-4c1ffc0e-a65a-482e-8434-891f254db660">REST API</a></li> <li data-lang="python"><a href="#tab-089201ba-5d33-458d-8c82-b5f3eb1e404c">Python SDK</a></li> <li data-lang="php"><a href="#tab-e2ef4c0c-95d3-4ed3-89a2-0abae5017a40">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-d6b8ed68-cb24-4a55-be69-eaed1deee57f">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-64d78c9a-079d-4de9
-8035-e80ad709dd3e">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-4c1ffc0e-a65a-482e-8434-891f254db660"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data for the app of this Engine. By default, the Product Ranking Engine Template supports 2 types of entities: <strong>user</strong> and <strong>item</strong>, and event <strong>view</strong>. A user can view an item. This template requires '$set' user event, '$set' item event and user-view-item events.</p> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps.
Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when a new user with id "u0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for this user. To send this event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-2bb82c5f-5151-465d-9722-5016f073897b">REST API</a></li> <li data-lang="python"><a href="#tab-003c26cf-5e2d-4559-8d30-2ca40fc007e4">Python SDK</a></li> <li data-lang="php"><a href="#tab-e0bb0a6d-de10-45ee-a74c-f51be724982c">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-2b43116f-0cbe-4f97-a800-d2917715a817">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-b958944b-91ec-45d7
-b3bd-da02f4f6bec6">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-2bb82c5f-5151-465d-9722-5016f073897b"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -47,7 +47,7 @@ Your system is all ready to go.
"entityId" : "u0",
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-089201ba-5d33-458d-8c82-b5f3eb1e404c"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-003c26cf-5e2d-4559-8d30-2ca40fc007e4"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -78,7 +78,7 @@ Your system is all ready to go.
<span class="n">entity_type</span><span class="o">=</span><span class="s">"user"</span><span class="p">,</span>
<span class="n">entity_id</span><span class="o">=<</span><span class="n">USER_ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-e2ef4c0c-95d3-4ed3-89a2-0abae5017a40"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-e0bb0a6d-de10-45ee-a74c-f51be724982c"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -103,7 +103,7 @@ Your system is all ready to go.
<span class="s1">'entityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">USER</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-d6b8ed68-cb24-4a55-be69-eaed1deee57f"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-2b43116f-0cbe-4f97-a800-d2917715a817"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -120,7 +120,7 @@ Your system is all ready to go.
<span class="s1">'user'</span><span class="p">,</span>
<span class="o"><</span><span class="no">USER</span> <span class="no">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-64d78c9a-079d-4de9-8035-e80ad709dd3e"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-b958944b-91ec-45d7-b3bd-da02f4f6bec6"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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4
@@ -145,7 +145,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">entityType</span><span class="o">(</span><span class="s">"user"</span><span class="o">)</span>
<span class="o">.</span><span class="na">entityId</span><span class="o">(<</span><span class="n">USER_ID</span><span class="o">>);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">userEvent</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a new item "i0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for the item. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-0b9829e1-cbe8-47e7-abe5-7a199adc658b">REST API</a></li> <li data-lang="python"><a href="#tab-cf24fdc0-898a-4b0f-ac6f-e175dd590439">Python SDK</a></li> <li data-lang="php"><a href="#tab-7110b2a4-2be5-4d35-94fb-eb71278ea0a7">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-3862ede1-a99b-451f-ba55-b51bc29899a0">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-26c462a0-35d3-409f-bbf1-2f5735650158">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-0b9829e1-cbe8-47e7-abe5-7a199adc658b"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td cla
ss="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a new item "i0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for the item. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-ce99a60b-e560-4ff7-b320-8320c68d1ef0">REST API</a></li> <li data-lang="python"><a href="#tab-82fba617-7af8-433d-b2e8-39e0896de3fb">Python SDK</a></li> <li data-lang="php"><a href="#tab-d97b59b0-b770-4f07-84db-89e97c3786c5">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-058ea976-b6df-4fe4-a5a1-6d6a71a4e118">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-ac205d09-8dcf-4ec3-bd00-8e0ba2e13590">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-ce99a60b-e560-4ff7-b320-8320c68d1ef0"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td cla
ss="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -160,7 +160,7 @@ Your system is all ready to go.
"entityId" : "i0",
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-cf24fdc0-898a-4b0f-ac6f-e175dd590439"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-82fba617-7af8-433d-b2e8-39e0896de3fb"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -173,7 +173,7 @@ Your system is all ready to go.
<span class="n">entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
<span class="n">entity_id</span><span class="o">=<</span><span class="n">ITEM_ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-7110b2a4-2be5-4d35-94fb-eb71278ea0a7"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-d97b59b0-b770-4f07-84db-89e97c3786c5"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -190,7 +190,7 @@ Your system is all ready to go.
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-3862ede1-a99b-451f-ba55-b51bc29899a0"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-058ea976-b6df-4fe4-a5a1-6d6a71a4e118"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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@@ -203,7 +203,7 @@ Your system is all ready to go.
<span class="o"><</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-26c462a0-35d3-409f-bbf1-2f5735650158"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-ac205d09-8dcf-4ec3-bd00-8e0ba2e13590"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -214,7 +214,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">entityType</span><span class="o">(</span><span class="s">"item"</span><span class="o">)</span>
<span class="o">.</span><span class="na">entityId</span><span class="o">(<</span><span class="n">ITEM_ID</span><span class="o">>);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">itemEvent</span><span class="o">)</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>When the user "u0" view item "i0" on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-b3b22b1f-d83b-4584-8303-a404d92f91fd">REST API</a></li> <li data-lang="python"><a href="#tab-f0c87f47-f3c4-49e8-8910-a010a992dbdf">Python SDK</a></li> <li data-lang="php"><a href="#tab-93b7e5ed-ea83-4686-9032-d3c68eff6f7e">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-4d29ccc1-c9ed-4425-a807-2756a0b25cb4">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-141a88f8-2428-4a50-bc48-33463e493774">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-b3b22b1f-d83b-4584-8303-a404d92f91fd"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text
-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>When the user "u0" view item "i0" on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-78a2d46c-907a-4d38-b093-c105949d9cc5">REST API</a></li> <li data-lang="python"><a href="#tab-2c3ec4d5-78c5-47a1-a7b6-9aaa058522a5">Python SDK</a></li> <li data-lang="php"><a href="#tab-700f4c35-1170-40d9-9baf-434f62a5e04d">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-1aebdfa8-cfc5-4627-ae12-5719ef0c8cc6">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-8e940c62-6b7e-45bd-b12c-0171bdbf41e4">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-78a2d46c-907a-4d38-b093-c105949d9cc5"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text
-align: right"><pre class="lineno">1
2
3
4
@@ -233,7 +233,7 @@ Your system is all ready to go.
"targetEntityId" : "i0",
"eventTime" : "2014-11-10T12:34:56.123-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-f0c87f47-f3c4-49e8-8910-a010a992dbdf"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-2c3ec4d5-78c5-47a1-a7b6-9aaa058522a5"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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@@ -250,7 +250,7 @@ Your system is all ready to go.
<span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-93b7e5ed-ea83-4686-9032-d3c68eff6f7e"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-700f4c35-1170-40d9-9baf-434f62a5e04d"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -269,7 +269,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-4d29ccc1-c9ed-4425-a807-2756a0b25cb4"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-1aebdfa8-cfc5-4627-ae12-5719ef0c8cc6"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -286,7 +286,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">></span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-141a88f8-2428-4a50-bc48-33463e493774"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-8e940c62-6b7e-45bd-b12c-0171bdbf41e4"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -344,14 +344,14 @@ User u10 views item i7
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve predicted results. To rank items with IDs "i1", "i3", "i10", "i2", "i5", "i31", "i9" for user "u2". You send this JSON <code>{ "user": "u2", "items": ["i1", "i3", "i10", "i2", "i5", "i31", "i9"] }</code> to the deployed engine and it will return a JSON of the ranked items. Simply send a query by making a HTTP request or through the <code>EngineCl
ient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-47d490aa-146a-4663-a5ce-656b36ebca04">REST API</a></li> <li data-lang="python"><a href="#tab-9dd2f54e-8f7d-4168-971d-62270b6e2ad0">Python SDK</a></li> <li data-lang="php"><a href="#tab-3cc211d0-1fdc-4a9f-ad73-e853dc77b67e">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-999bf93c-90de-43c4-bb22-a6e2408e081e">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-faa847f6-6d49-4d16-abe1-d3d377ea61e9">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-47d490aa-146a-4663-a5ce-656b36ebca04"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve predicted results. To rank items with IDs "i1", "i3", "i10", "i2", "i5", "i31", "i9" for user "u2". You send this JSON <code>{ "user": "u2", "items": ["i1", "i3", "i10", "i2", "i5", "i31", "i9"] }</code> to the deployed engine and it will return a JSON of the ranked items. Simply send a query by making a HTTP request or through the <code>EngineCl
ient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-967ff989-f440-4108-94b1-5eb7f8c1af9a">REST API</a></li> <li data-lang="python"><a href="#tab-3fdceca5-3645-46f2-9bb3-28c11fe8dbe1">Python SDK</a></li> <li data-lang="php"><a href="#tab-b74462d2-81de-4a87-9da3-d9e6ff704357">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-93504f25-577b-4887-8e0a-319f692260b2">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-59a355fe-d73f-4fa0-885c-29d7b6d66f24">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-967ff989-f440-4108-94b1-5eb7f8c1af9a"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{ "user": "u2", "items": ["i1", "i3", "i10", "i2", "i5", "i31", "i9"]}'</span> <span class="se">\</span>
http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-9dd2f54e-8f7d-4168-971d-62270b6e2ad0"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-3fdceca5-3645-46f2-9bb3-28c11fe8dbe1"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -362,7 +362,7 @@ http://localhost:8000/queries.json
<span class="s">"user"</span><span class="p">:</span> <span class="s">"u2"</span><span class="p">,</span>
<span class="s">"items"</span><span class="p">:</span> <span class="p">[</span><span class="s">"i1"</span><span class="p">,</span> <span class="s">"i3"</span><span class="p">,</span> <span class="s">"i10"</span><span class="p">,</span> <span class="s">"i2"</span><span class="p">,</span> <span class="s">"i5"</span><span class="p">,</span> <span class="s">"i31"</span><span class="p">,</span> <span class="s">"i9"</span><span class="p">]</span>
<span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-3cc211d0-1fdc-4a9f-ad73-e853dc77b67e"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-b74462d2-81de-4a87-9da3-d9e6ff704357"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -385,7 +385,7 @@ http://localhost:8000/queries.json
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-999bf93c-90de-43c4-bb22-a6e2408e081e"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-93504f25-577b-4887-8e0a-319f692260b2"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -402,7 +402,7 @@ http://localhost:8000/queries.json
<span class="s1">'items'</span> <span class="o">=></span> <span class="p">[</span><span class="s1">'i1'</span><span class="p">,</span> <span class="s1">'i3'</span><span class="p">,</span> <span class="s1">'i10'</span><span class="p">,</span> <span class="s1">'i2'</span><span class="p">,</span> <span class="s1">'i5'</span><span class="p">,</span> <span class="s1">'i31'</span><span class="p">,</span> <span class="s1">'i9'</span><span class="p">])</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-faa847f6-6d49-4d16-abe1-d3d377ea61e9"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-59a355fe-d73f-4fa0-885c-29d7b6d66f24"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/recommendation/batch-evaluator/index.html
----------------------------------------------------------------------
diff --git a/templates/recommendation/batch-evaluator/index.html b/templates/recommendation/batch-evaluator/index.html
index 566ae62..6f905ba 100644
--- a/templates/recommendation/batch-evaluator/index.html
+++ b/templates/recommendation/batch-evaluator/index.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html><html><head><title>Batch Persistable Evaluator (Recommendation)</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Batch Persistable Evaluator (Recommendation)"/><link rel="canonical" href="https://predictionio.apache.org/templates/recommendation/batch-evaluator/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html
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lass="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Batch Persistable Evaluator (Recommendation)</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div
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><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendatio
n/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><
a class="final active" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templ
ates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-
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/a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Web
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i></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">Recommendation</a><span class="spacer">></span></li><
li><span class="last">Batch Persistable Evaluator</span></li></ul></div><div id="page-title"><h1>Batch Persistable Evaluator (Recommendation)</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#1-modify-datasource">1. Modify DataSource</a> </li> <li> <a href="#2-add-a-new-evaluator">2. Add a new Evaluator</a> </li> <li> <a href="#3-define-evaluation-and-engineparamsgenerator-object">3. Define Evaluation and EngineParamsGenerator object</a> </li> <li> <a href="#4-build-and-run">4. build and run</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/templates/recommendation/batch-evaluator.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer
">></span></li><li><a href="#">Recommendation</a><span class="spacer">></span></li><li><span class="last">Batch Persistable Evaluator</span></li></ul></div><div id="page-title"><h1>Batch Persistable Evaluator (Recommendation)</h1></div></div><div class="content"> <p>This how-to tutorial would explain how you can also use <code>$pio eval</code> to persist predicted result for a batch of queries. Please read the <a href="/templates/recommendation/evaluation/">Evaluation</a> to understand the usage of DataSoure's <code>readEval()</code> and the Evaluation component first.</p><div class="alert-message warning"><p>This tutorial is based on some experimental and developer features, which may be changed in future release.</p></div><div class="alert-message note"><p>This tutorial is based on Recommendation template version v0.3.2</p></div><h2 id='1.-modify-datasource' class='header-anchors'>1. Modify DataSource</h2><p>Modify DataSource's <code>readEval()</code> to generate the
batch Queries which you want to run batch predict.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+<!DOCTYPE html><html><head><title>Batch Persistable Evaluator (Recommendation)</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Batch Persistable Evaluator (Recommendation)"/><link rel="canonical" href="https://predictionio.apache.org/templates/recommendation/batch-evaluator/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html
5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div c
lass="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Batch Persistable Evaluator (Recommendation)</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div
id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" hr
ef="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Prediction
s</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li
class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a
></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"
><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendatio
n/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><
a class="final active" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templ
ates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-
2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span><
/a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Web
hook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></l
i></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">Recommendation</a><span class="spacer">></span></li><
li><span class="last">Batch Persistable Evaluator</span></li></ul></div><div id="page-title"><h1>Batch Persistable Evaluator (Recommendation)</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#1-modify-datasource">1. Modify DataSource</a> </li> <li> <a href="#2-add-a-new-evaluator">2. Add a new Evaluator</a> </li> <li> <a href="#3-define-evaluation-and-engineparamsgenerator-object">3. Define Evaluation and EngineParamsGenerator object</a> </li> <li> <a href="#4-build-and-run">4. build and run</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/templates/recommendation/batch-evaluator.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer
">></span></li><li><a href="#">Recommendation</a><span class="spacer">></span></li><li><span class="last">Batch Persistable Evaluator</span></li></ul></div><div id="page-title"><h1>Batch Persistable Evaluator (Recommendation)</h1></div></div><div class="content"> <p>This how-to tutorial would explain how you can also use <code>$pio eval</code> to persist predicted result for a batch of queries. Please read the <a href="/templates/recommendation/evaluation/">Evaluation</a> to understand the usage of DataSource's <code>readEval()</code> and the Evaluation component first.</p><div class="alert-message warning"><p>This tutorial is based on some experimental and developer features, which may be changed in future release.</p></div><div class="alert-message note"><p>This tutorial is based on Recommendation template version v0.3.2</p></div><h2 id='1.-modify-datasource' class='header-anchors'>1. Modify DataSource</h2><p>Modify DataSource's <code>readEval()</code> to generate th
e batch Queries which you want to run batch predict.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/recommendation/dase/index.html
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diff --git a/templates/recommendation/dase/index.html b/templates/recommendation/dase/index.html
index eb6cddf..e802c20 100644
--- a/templates/recommendation/dase/index.html
+++ b/templates/recommendation/dase/index.html
@@ -313,7 +313,7 @@ val itemStringIntMap <span class="o">=</span> BiMap.stringInt<span class="o">(</
<span class="n">numIterations</span><span class="k">:</span> <span class="kt">Int</span><span class="o">,</span>
<span class="n">lambda</span><span class="k">:</span> <span class="kt">Double</span><span class="o">,</span>
<span class="n">seed</span><span class="k">:</span> <span class="kt">Option</span><span class="o">[</span><span class="kt">Long</span><span class="o">])</span> <span class="k">extends</span> <span class="nc">Params</span>
-</pre></td></tr></tbody></table> </div> <p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different reuslts. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.train</code> then returns a <code>MatrixFactorizationModel</code> model which contains RDD data. RDD is a distributed collection of items which <em>does not</em> persist. To store the model, you convert the model to <code>ALSModel</code> class at the end. <code>ALSModel</code> is a persistable class that extends <code>MatrixFactorizationModel</code>.</p> <blockquote> <p>The detailed implementation can be found at MyRecommendation/src/main/scala/<strong><em>ALSModel.scala</em></strong></p></blockquote> <p>PredictionIO will automatically store th
e returned model, i.e. <code>ALSModel</code> in this case.</p><h3 id='predict(...)' class='header-anchors'>predict(...)</h3><p><code>predict</code> is called when you send a JSON query to <a href="http://localhost:8000/queries.json">http://localhost:8000/queries.json</a>. PredictionIO converts the query, such as <code>{ "user": "1", "num": 4 }</code> to the <code>Query</code> class you defined previously.</p><p>The predictive model <code>MatrixFactorizationModel</code> of MLlib ALS, which is now extended as <code>ALSModel</code>, offers a method called <code>recommendProducts</code>. <code>recommendProducts</code> takes two parameters: user id (i.e. the <code>Int</code> index of <code>query.user</code>) and the number of items to be returned (i.e. <code>query.num</code>). It predicts the top <em>num</em> of items a user will like.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right">
<pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different results. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.train</code> then returns a <code>MatrixFactorizationModel</code> model which contains RDD data. RDD is a distributed collection of items which <em>does not</em> persist. To store the model, you convert the model to <code>ALSModel</code> class at the end. <code>ALSModel</code> is a persistable class that extends <code>MatrixFactorizationModel</code>.</p> <blockquote> <p>The detailed implementation can be found at MyRecommendation/src/main/scala/<strong><em>ALSModel.scala</em></strong></p></blockquote> <p>PredictionIO will automatically store th
e returned model, i.e. <code>ALSModel</code> in this case.</p><h3 id='predict(...)' class='header-anchors'>predict(...)</h3><p><code>predict</code> is called when you send a JSON query to <a href="http://localhost:8000/queries.json">http://localhost:8000/queries.json</a>. PredictionIO converts the query, such as <code>{ "user": "1", "num": 4 }</code> to the <code>Query</code> class you defined previously.</p><p>The predictive model <code>MatrixFactorizationModel</code> of MLlib ALS, which is now extended as <code>ALSModel</code>, offers a method called <code>recommendProducts</code>. <code>recommendProducts</code> takes two parameters: user id (i.e. the <code>Int</code> index of <code>query.user</code>) and the number of items to be returned (i.e. <code>query.num</code>). It predicts the top <em>num</em> of items a user will like.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right">
<pre class="lineno">1
2
3
4
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/recommendation/evaluation/index.html
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diff --git a/templates/recommendation/evaluation/index.html b/templates/recommendation/evaluation/index.html
index 336ef91..7298749 100644
--- a/templates/recommendation/evaluation/index.html
+++ b/templates/recommendation/evaluation/index.html
@@ -111,7 +111,7 @@ Metrics:
PositiveCount <span class="o">(</span><span class="nv">threshold</span><span class="o">=</span>1.0<span class="o">)</span>: 10.006666666666666
<span class="o">[</span>INFO 2015-03-31 00:36:01,516] <span class="o">[</span>CoreWorkflow<span class="nv">$]</span> runEvaluation completed
-</pre></td></tr></tbody></table> </div> <p>The console prints out the evaluation meric score of each engine params, and finally pretty print the optimal engine params. Amongs the 3 engine params we evaluate, the best Prediction@k has a score of ~0.1521.</p><h2 id='the-evaluation-design' class='header-anchors'>The Evaluation Design</h2><p>We assume you have read the <a href="/evaluation">Tuning and Evaluation</a> section. We will cover the evaluation aspects which are specific to the recommendation engine.</p><p>In recommendation evaluation, the raw data is a sequence of known ratings. A rating has 3 components: user, item, and a score. We use the $k-fold$ method for evaluation, the raw data is sliced into a sequence of (training, validation) data tuple.</p><p>In the validation data, we construct a query for <em>each user</em>, and get a list of recommended items from the engine. It is vastly different from the classification tutorial, where there is a one-to-one corresponding betwee
n the training data point and the validation data point. In this evaluation, our unit of evaluation is <em>user</em>, we evaluate the quality of an engine using the known rating of a user.</p><h3 id='key-assumptions' class='header-anchors'>Key assumptions</h3><p>There are multiple assumptions we have to make when we evaluate a recommendation engine:</p> <ul> <li><p>Definition of 'good'. We want to quantify if the engine is able to recommend items which the user likes, we need to define what is meant by 'good'. In this examle, we have two kinds of events: 'rate' and 'buy'. The 'rate' event is associated with a rating value which ranges between 1 to 4, and the 'buy' event is mapped to a rating of 4. When we implement the metric, we have to specify a rating threshold, only the rating above the threshold is considered 'good'.</p></li> <li><p>The absence of complete rating. It is extremely unlikely that the training data contains ra
ting for all user-item tuples. In contrast, of a system containing 1000 items, a user may only have rated 20 of them, leaving 980 items unrated. There is no way for us to certainly tell if the user likes an unrated product. When we examine the evaluation result, it is important for us to keep in mind that the final metric is only an approximation of the actual result.</p></li> <li><p>Recommendation affects user behavior. Suppose you are a e-commerce company and would like to use the recommendation engine to personalize the landing page, the item you show in the langing page directly impacts what the user is going to purchase. This is different from weather prediction, whatever the weather forecast engine predicts, tomorrow's weather won't be affected. Therefore, when we conduct offline evaluation for recommendation engines, it is possible that the final user behavior is dramatically different from the evaluation result. However, in the evaluation, for simplicity, we have to
assume that user behavior is homogenous.</p></li> </ul> <h2 id='evaluation-data-generation' class='header-anchors'>Evaluation Data Generation</h2><h3 id='actual-result' class='header-anchors'>Actual Result</h3><p>In MyRecommendation/src/main/scala/<strong><em>Engine.scala</em></strong>, we define the <code>ActualResult</code> which represents the user rating for validation. It stores the list of ratings in the validation set for a user.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>The console prints out the evaluation metric score of each engine params, and finally pretty print the optimal engine params. Amongst the 3 engine params we evaluate, the best Prediction@k has a score of ~0.1521.</p><h2 id='the-evaluation-design' class='header-anchors'>The Evaluation Design</h2><p>We assume you have read the <a href="/evaluation">Tuning and Evaluation</a> section. We will cover the evaluation aspects which are specific to the recommendation engine.</p><p>In recommendation evaluation, the raw data is a sequence of known ratings. A rating has 3 components: user, item, and a score. We use the $k-fold$ method for evaluation, the raw data is sliced into a sequence of (training, validation) data tuple.</p><p>In the validation data, we construct a query for <em>each user</em>, and get a list of recommended items from the engine. It is vastly different from the classification tutorial, where there is a one-to-one corresponding betw
een the training data point and the validation data point. In this evaluation, our unit of evaluation is <em>user</em>, we evaluate the quality of an engine using the known rating of a user.</p><h3 id='key-assumptions' class='header-anchors'>Key assumptions</h3><p>There are multiple assumptions we have to make when we evaluate a recommendation engine:</p> <ul> <li><p>Definition of 'good'. We want to quantify if the engine is able to recommend items which the user likes, we need to define what is meant by 'good'. In this example, we have two kinds of events: 'rate' and 'buy'. The 'rate' event is associated with a rating value which ranges between 1 to 4, and the 'buy' event is mapped to a rating of 4. When we implement the metric, we have to specify a rating threshold, only the rating above the threshold is considered 'good'.</p></li> <li><p>The absence of complete rating. It is extremely unlikely that the training data contains
rating for all user-item tuples. In contrast, of a system containing 1000 items, a user may only have rated 20 of them, leaving 980 items unrated. There is no way for us to certainly tell if the user likes an unrated product. When we examine the evaluation result, it is important for us to keep in mind that the final metric is only an approximation of the actual result.</p></li> <li><p>Recommendation affects user behavior. Suppose you are a e-commerce company and would like to use the recommendation engine to personalize the landing page, the item you show in the landing page directly impacts what the user is going to purchase. This is different from weather prediction, whatever the weather forecast engine predicts, tomorrow's weather won't be affected. Therefore, when we conduct offline evaluation for recommendation engines, it is possible that the final user behavior is dramatically different from the evaluation result. However, in the evaluation, for simplicity, we have
to assume that user behavior is homogenous.</p></li> </ul> <h2 id='evaluation-data-generation' class='header-anchors'>Evaluation Data Generation</h2><h3 id='actual-result' class='header-anchors'>Actual Result</h3><p>In MyRecommendation/src/main/scala/<strong><em>Engine.scala</em></strong>, we define the <code>ActualResult</code> which represents the user rating for validation. It stores the list of ratings in the validation set for a user.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td><td class="code"><pre><span class="k">case</span> <span class="k">class</span> <span class="nc">ActualResult</span><span class="o">(</span>
<span class="n">ratings</span><span class="k">:</span> <span class="kt">Array</span><span class="o">[</span><span class="kt">Rating</span><span class="o">]</span>
[13/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/demo/textclassification/index.html
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diff --git a/demo/textclassification/index.html b/demo/textclassification/index.html
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@@ -1,11 +1,11 @@
-<!DOCTYPE html><html><head><title>Text Classification Engine Tutorial</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Text Classification Engine Tutorial"/><link rel="canonical" href="https://predictionio.apache.org/demo/textclassification/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src=
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-sm-11 col-xs-11"><div class="hidden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Text Classification Engine Tutorial</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class
="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span
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s="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="
#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class
="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricch
oose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class
="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendat
ion/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start<
/span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classificat
ion</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="exp
andible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final active" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a c
lass="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="ex
pandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Demo Tutorials</a><span class="spacer">></span></li><li><span class="last">Text Classification Engine Tutorial</span></li></ul></div><div id="page-title"><h1>Text Classification Engine Tu
torial</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#introduction">Introduction</a> </li> <li> <a href="#prerequisites">Prerequisites</a> </li> <li> <a href="#engine-overview">Engine Overview</a> </li> <li> <a href="#quick-start">Quick Start</a> </li> </ul> </li> <li> <a href="#detailed-explanation-of-dase">Detailed Explanation of DASE</a> <ul> <li> <a href="#importing-data">Importing Data</a> </li> <li> <a href="#data-source-reading-event-data">Data Source: Reading Event Data</a> </li> <li> <a href="#preparator-data-processing-with-dase">Preparator : Data Processing With DASE</a> </li> <li> <a href="#algorithm-component">Algorithm Component</a> </li> <li> <a href="#serving-delivering-the-final-prediction">Serving: Delivering the Final Prediction</a> </li> <li> <a href="#evaluation-model-assessment-and-selection">Evaluation: Model Assessment and Selection</a> </li> <li> <a href="#engine-deployment">Engine De
ployment</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/demo/textclassification.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Demo Tutorials</a><span class="spacer">></span></li><li><span class="last">Text Classification Engine Tutorial</span></li></ul></div><div id="page-title"><h1>Text Classification Engine Tutorial</h1></div></div><div class="content"> <p>(Updated for Text Classification Template version 3.1)</p><h2 id='introduction' class='header-anchors'>Introduction</h2><p>In the real world, there are many applications that collect text as data. For example, spam detectors take email and header content to automatically determine what is or is not spam; applications can gague the general sentiment in a geographical area by analyzing Twit
ter data; and news articles can be automatically categorized based solely on the text content.There are a wide array of machine learning models you can use to create, or train, a predictive model to assign an incoming article, or query, to an existing category. Before you can use these techniques you must first transform the text data (in this case the set of news articles) into numeric vectors, or feature vectors, that can be used to train your model.</p><p>The purpose of this tutorial is to illustrate how you can go about doing this using PredictionIO's platform. The advantages of using this platform include: a dynamic engine that responds to queries in real-time; <a href="http://en.wikipedia.org/wiki/Separation_of_concerns">separation of concerns</a>, which offers code re-use and maintainability, and distributed computing capabilities for scalability and efficiency. Moreover, it is easy to incorporate non-trivial data modeling tasks into the DASE architecture allowing Data Sc
ientists to focus on tasks related to modeling. This tutorial will exemplify some of these ideas by guiding you through PredictionIO's <a href="/gallery/template-gallery/#natural-language-processing">text classification template</a>.</p><h2 id='prerequisites' class='header-anchors'>Prerequisites</h2><p>Before getting started, please make sure that you have the latest version of Apache PredictionIO <a href="http://predictionio.apache.org/install/">installed</a>. We emphasize here that this is an engine template written in <strong>Scala</strong> and can be more generally thought of as an SBT project containing all the necessary components.</p><p>You should also download the engine template named Text Classification Engine that accompanies this tutorial by cloning the template repository:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>git clone https://
github.com/apache/predictionio-template-text-classifier.git < Your new engine directory >
+<!DOCTYPE html><html><head><title>Text Classification Engine Tutorial</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Text Classification Engine Tutorial"/><link rel="canonical" href="https://predictionio.apache.org/demo/textclassification/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src=
"//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col
-sm-11 col-xs-11"><div class="hidden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Text Classification Engine Tutorial</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class
="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span
></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a clas
s="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="
#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class
="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricch
oose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class
="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendat
ion/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start<
/span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classificat
ion</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="exp
andible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final active" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a c
lass="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="ex
pandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Demo Tutorials</a><span class="spacer">></span></li><li><span class="last">Text Classification Engine Tutorial</span></li></ul></div><div id="page-title"><h1>Text Classification Engine Tu
torial</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#introduction">Introduction</a> </li> <li> <a href="#prerequisites">Prerequisites</a> </li> <li> <a href="#engine-overview">Engine Overview</a> </li> <li> <a href="#quick-start">Quick Start</a> </li> </ul> </li> <li> <a href="#detailed-explanation-of-dase">Detailed Explanation of DASE</a> <ul> <li> <a href="#importing-data">Importing Data</a> </li> <li> <a href="#data-source-reading-event-data">Data Source: Reading Event Data</a> </li> <li> <a href="#preparator-data-processing-with-dase">Preparator : Data Processing With DASE</a> </li> <li> <a href="#algorithm-component">Algorithm Component</a> </li> <li> <a href="#serving-delivering-the-final-prediction">Serving: Delivering the Final Prediction</a> </li> <li> <a href="#evaluation-model-assessment-and-selection">Evaluation: Model Assessment and Selection</a> </li> <li> <a href="#engine-deployment">Engine De
ployment</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/demo/textclassification.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Demo Tutorials</a><span class="spacer">></span></li><li><span class="last">Text Classification Engine Tutorial</span></li></ul></div><div id="page-title"><h1>Text Classification Engine Tutorial</h1></div></div><div class="content"> <p>(Updated for Text Classification Template version 3.1)</p><h2 id='introduction' class='header-anchors'>Introduction</h2><p>In the real world, there are many applications that collect text as data. For example, spam detectors take email and header content to automatically determine what is or is not spam; applications can gauge the general sentiment in a geographical area by analyzing Twit
ter data; and news articles can be automatically categorized based solely on the text content.There are a wide array of machine learning models you can use to create, or train, a predictive model to assign an incoming article, or query, to an existing category. Before you can use these techniques you must first transform the text data (in this case the set of news articles) into numeric vectors, or feature vectors, that can be used to train your model.</p><p>The purpose of this tutorial is to illustrate how you can go about doing this using PredictionIO's platform. The advantages of using this platform include: a dynamic engine that responds to queries in real-time; <a href="http://en.wikipedia.org/wiki/Separation_of_concerns">separation of concerns</a>, which offers code re-use and maintainability, and distributed computing capabilities for scalability and efficiency. Moreover, it is easy to incorporate non-trivial data modeling tasks into the DASE architecture allowing Data Sc
ientists to focus on tasks related to modeling. This tutorial will exemplify some of these ideas by guiding you through PredictionIO's <a href="/gallery/template-gallery/#natural-language-processing">text classification template</a>.</p><h2 id='prerequisites' class='header-anchors'>Prerequisites</h2><p>Before getting started, please make sure that you have the latest version of Apache PredictionIO <a href="http://predictionio.apache.org/install/">installed</a>. We emphasize here that this is an engine template written in <strong>Scala</strong> and can be more generally thought of as an SBT project containing all the necessary components.</p><p>You should also download the engine template named Text Classification Engine that accompanies this tutorial by cloning the template repository:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>git clone https://
github.com/apache/predictionio-template-text-classifier.git < Your new engine directory >
</pre></td></tr></tbody></table> </div> <h2 id='engine-overview' class='header-anchors'>Engine Overview</h2><p>The engine follows the DASE architecture which we briefly review here. As a user, you are tasked with collecting data for your web or application, and importing it into PredictionIO's Event Server. Once the data is in the server, it can be read and processed by the engine via the Data Source and Preparation components, respectively. The Algorithm component uses the processed, or prepared, data to train a set of predictive models. Once you have trained these models, you are ready to deploy your engine and respond to real-time queries via the Serving component which combines the results from different fitted models. The Evaluation component is used to compute an appropriate metric to test the performance of a fitted model, as well as aid in the tuning of model hyper parameters.</p><p>This engine template is meant to handle text classification which means you will be worki
ng with text data. This means that a query, or newly observed documents, will be of the form:</p><p><code>{text : String}</code>.</p><p>In the running example, a query would be an incoming news article. Once the engine is deployed it can process the query, and then return a Predicted Result of the form</p><p><code>{category : String, confidence : Double}</code>.</p><p>Here category is the model's class assignment for this new text document (i.e. the best guess for this article's categorization), and confidence, a value between 0 and 1 representing your confidence in the category prediction (0 meaning you have no confidence in the prediction). The Actual Result is of the form</p><p><code>{category : String}</code>.</p><p>This is used in the evaluation stage when estimating the performance of your predictive model (how well does the model predict categories). Please refer to the <a href="https://predictionio.apache.org/customize/">following tutorial</a> for a more detailed exp
lanation of how your engine will interact with your web application, as well as an in depth-overview of DASE.</p><h2 id='quick-start' class='header-anchors'>Quick Start</h2><p>This is a quick start guide in case you want to start using the engine right away. Sample email data for spam classification will be used. For more detailed information, read the subsequent sections.</p><h3 id='1.-create-a-new-application.' class='header-anchors'>1. Create a new application.</h3><p>After the application is created, you will be given an access key and application ID for the application.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio app new MyTextApp
</pre></td></tr></tbody></table> </div> <h3 id='2.-import-the-tutorial-data.' class='header-anchors'>2. Import the tutorial data.</h3><p>There are three different data sets available, each giving a different use case for this engine. Please refer to the <strong>Data Source: Reading Event Data</strong> section to see how to appropriate modify the <code>DataSource</code> class for use with each respective data set. The default data set is an e-mail spam data set.</p><p>These data sets have already been processed and are ready for <a href="/datacollection/batchimport/">batch import</a>. Replace <code>***</code> with your actual application ID.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td><td class="code"><pre><span class="gp">$ </span>pio import --appid <span class="k">***</span> --input data/stopwords.json
<span class="gp">$ </span>pio import --appid <span class="k">***</span> --input data/emails.json
-</pre></td></tr></tbody></table> </div> <h3 id='3.-set-the-engine-parameters-in-the-file-<code>engine.json</code>.' class='header-anchors' >3. Set the engine parameters in the file <code>engine.json</code>.</h3><p>The default settings are shown below. By default, it uses the algorithm name "lr" which is logstic regression. Please see later section for more detailed explanation of engine.json setting.</p><p>Make sure the "appName" is same as the app you created in step1.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <h3 id='3.-set-the-engine-parameters-in-the-file-<code>engine.json</code>.' class='header-anchors' >3. Set the engine parameters in the file <code>engine.json</code>.</h3><p>The default settings are shown below. By default, it uses the algorithm name "lr" which is logistic regression. Please see later section for more detailed explanation of engine.json setting.</p><p>Make sure the "appName" is same as the app you created in step1.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -141,7 +141,7 @@
<span class="o">.</span><span class="n">toSet</span>
<span class="o">}</span>
<span class="o">...</span>
-</pre></td></tr></tbody></table> </div> <p>Note that <code>readEventData</code> and <code>readStopWords</code> use different entity types and event names, but use the same application name. This is because the sample import script imports two different data types, documents and stop words. These field distinctions are required for distinguishing between the two. The method <code>readEval</code> is used to prepare the different cross-validation folds needed for evaluating your model and tuning hyper parameters.</p><p>Now, the default dataset used for training is contained in the file <code>data/emails.json</code> and contains a set of e-mail spam data. If we want to switch over to one of the other data sets we must make sure that the <code>eventNames</code> and <code>entityType</code> fields are changed accordingly.</p><p>In the data/ directory, you will find different sets of data files for different types of text classifcaiton application. The following show one observation from ea
ch of the provided data files:</p> <ul> <li><code>emails.json</code>:</li> </ul> <div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Note that <code>readEventData</code> and <code>readStopWords</code> use different entity types and event names, but use the same application name. This is because the sample import script imports two different data types, documents and stop words. These field distinctions are required for distinguishing between the two. The method <code>readEval</code> is used to prepare the different cross-validation folds needed for evaluating your model and tuning hyper parameters.</p><p>Now, the default dataset used for training is contained in the file <code>data/emails.json</code> and contains a set of e-mail spam data. If we want to switch over to one of the other data sets we must make sure that the <code>eventNames</code> and <code>entityType</code> fields are changed accordingly.</p><p>In the data/ directory, you will find different sets of data files for different types of text classificaiton application. The following show one observation from e
ach of the provided data files:</p> <ul> <li><code>emails.json</code>:</li> </ul> <div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">{</span><span class="s2">"eventTime"</span>: <span class="s2">"2015-06-08T16:45:00.590+0000"</span>, <span class="s2">"entityId"</span>: 1, <span class="s2">"properties"</span>: <span class="o">{</span><span class="s2">"text"</span>: <span class="s2">"Subject: dobmeos with hgh my energy level has gone up ! stukm</span><span class="se">\n</span><span class="s2">introducing</span><span class="se">\n</span><span class="s2">doctor - formulated</span><span class="se">\n</span><span class="s2">hgh</span><span class="se">\n</span><span class="s2">human growth hormone - also called hgh</span><span class="se">\n</span><span class="s2">is referred to in medical science as the master hormone . it is very plentiful</span><span class="se">\n</span><span class="s2">when we are young , but near the age of twenty - one our bodies begin to produce</span><span class="se">\n</span><span class="s2">less of it . by the time we are forty nearly everyone i
s deficient in hgh ,</span><span class="se">\n</span><span class="s2">and at eighty our production has normally diminished at least 90 - 95 % .</span><span class="se">\n</span><span class="s2">advantages of hgh :</span><span class="se">\n</span><span class="s2">- increased muscle strength</span><span class="se">\n</span><span class="s2">- loss in body fat</span><span class="se">\n</span><span class="s2">- increased bone density</span><span class="se">\n</span><span class="s2">- lower blood pressure</span><span class="se">\n</span><span class="s2">- quickens wound healing</span><span class="se">\n</span><span class="s2">- reduces cellulite</span><span class="se">\n</span><span class="s2">- improved vision</span><span class="se">\n</span><span class="s2">- wrinkle disappearance</span><span class="se">\n</span><span class="s2">- increased skin thickness texture</span><span class="se">\n</span><span class="s2">- increased energy levels</span><span class="se">\n</span><span class="s2">-
improved sleep and emotional stability</span><span class="se">\n</span><span class="s2">- improved memory and mental alertness</span><span class="se">\n</span><span class="s2">- increased sexual potency</span><span class="se">\n</span><span class="s2">- resistance to common illness</span><span class="se">\n</span><span class="s2">- strengthened heart muscle</span><span class="se">\n</span><span class="s2">- controlled cholesterol</span><span class="se">\n</span><span class="s2">- controlled mood swings</span><span class="se">\n</span><span class="s2">- new hair growth and color restore</span><span class="se">\n</span><span class="s2">read</span><span class="se">\n</span><span class="s2">more at this website</span><span class="se">\n</span><span class="s2">unsubscribe</span><span class="se">\n</span><span class="s2">"</span>, <span class="s2">"label"</span>: <span class="s2">"spam"</span><span class="o">}</span>, <span class="s2">"event"</span>: <span class="s2">"e-mail"</span>, <spa
n class="s2">"entityType"</span>: <span class="s2">"content"</span><span class="o">}</span>
</pre></td></tr></tbody></table> </div> <ul> <li><code>20newsgroups.json</code>:</li> </ul> <div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="o">{</span><span class="s2">"entityType"</span>: <span class="s2">"source"</span>, <span class="s2">"eventTime"</span>: <span class="s2">"2015-06-08T18:01:55.003+0000"</span>, <span class="s2">"event"</span>: <span class="s2">"documents"</span>, <span class="s2">"entityId"</span>: 1, <span class="s2">"properties"</span>: <span class="o">{</span><span class="s2">"category"</span>: <span class="s2">"sci.crypt"</span>, <span class="s2">"text"</span>: <span class="s2">"From: rj@ri.cadre.com (Rob deFriesse)</span><span class="se">\n</span><span class="s2">Subject: Can DES code be shipped to Canada?</span><span class="se">\n</span><span class="s2">Article-I.D.: fripp.1993Apr22.125402.27561</span><span class="se">\
n</span><span class="s2">Reply-To: rj@ri.cadre.com</span><span class="se">\n</span><span class="s2">Organization: Cadre Technologies Inc.</span><span class="se">\n</span><span class="s2">Lines: 13</span><span class="se">\n</span><span class="s2">Nntp-Posting-Host: 192.9.200.19</span><span class="se">\n\n</span><span class="s2">Someone in Canada asked me to send him some public domain DES file</span><span class="se">\n</span><span class="s2">encryption code I have. Is it legal for me to send it?</span><span class="se">\n\n</span><span class="s2">Thanx.</span><span class="se">\n</span><span class="s2">--</span><span class="se">\n</span><span class="s2">Eschew Obfuscation</span><span class="se">\n\n</span><span class="s2">Rob deFriesse Mail: rj@ri.cadre.com</span><span class="se">\n</span><span class="s2">Cadre Technologies Inc. Phone: (401) 351-5950</span><span class="se">\n</span><span class="s2">222 Richmond St. Fax: (401) 351-7380</
span><span class="se">\n</span><span class="s2">Providence, RI 02903</span><span class="se">\n\n</span><span class="s2">I don't speak for my employer.</span><span class="se">\n</span><span class="s2">"</span>, <span class="s2">"label"</span>: 11.0<span class="o">}}</span>
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<!DOCTYPE html><html><head><title>Monitoring an Engine</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Monitoring an Engine"/><link rel="canonical" href="https://predictionio.apache.org/deploy/monitoring/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/Ma
thJax.js?config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden
-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Monitoring Engine</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><n
av id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/a
ppintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final active" href="/deploy/monitoring/"><span>Moni
toring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></
a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algori
thm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span>
</a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/re
commendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable E
valuator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="fi
nal" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class=
"final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></
a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Communi
ty Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</s
pan></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Deploying an Engine</a><span class="spacer">></span></li><li><span class="last">Monitoring Engine</span></li></ul></div><div id="page-title"><h1>Monitoring an Engine</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><as
ide id="table-of-contents"><ul> <li> <a href="#configure-basics">Configure Basics</a> </li> <li> <a href="#configure-for-predictionio">Configure for PredictionIO</a> </li> <li> <a href="#start-it-all-up">Start it All Up</a> </li> <li> <a href="#testing">Testing</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/deploy/monitoring.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Deploying an Engine</a><span class="spacer">></span></li><li><span class="last">Monitoring Engine</span></li></ul></div><div id="page-title"><h1>Monitoring an Engine</h1></div></div><div class="content"> <p>If you're using PredictionIO in a production setting, you'll want some way to make sure it is always up. <a href="https://mmonit.com/monit/">Monit</a> is a tool which w
ill monitor important processes and programs. This guide will show how to set up monit on your PredictionIO server to keep an engine always up and running.</p><p>You can install monit on ubuntu with</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>sudo apt-get install monit
-</pre></td></tr></tbody></table> </div> <h2 id='configure-basics' class='header-anchors'>Configure Basics</h2><p>Now we can configure monit by the configuration file <code>/etc/monit/monitrc</code> with your favorite editor. You will notice that this file contains quite a bit already, most of which is commented intructions/examples.</p><p>First, choose the interval on which you want monit to check the status of your system. Use the <code>set daemon</code> command for this, it should already exist in the configuration file.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="nb">set </span>daemon 60 <span class="c">#checks at 1-minute intervals</span>
+</pre></td></tr></tbody></table> </div> <h2 id='configure-basics' class='header-anchors'>Configure Basics</h2><p>Now we can configure monit by the configuration file <code>/etc/monit/monitrc</code> with your favorite editor. You will notice that this file contains quite a bit already, most of which is commented instructions/examples.</p><p>First, choose the interval on which you want monit to check the status of your system. Use the <code>set daemon</code> command for this, it should already exist in the configuration file.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="nb">set </span>daemon 60 <span class="c">#checks at 1-minute intervals</span>
</pre></td></tr></tbody></table> </div> <p>The <code>check system</code> block should also already be present, under the services block.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
[09/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
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-<!DOCTYPE html><html><head><title>Glossary</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Glossary"/><link rel="canonical" href="https://predictionio.apache.org/resources/glossary/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS
-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden-md hidden-lg" id="mobi
le-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Glossary</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="
level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integr
ation Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class=
"level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="fin
al" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><
a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="
final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluat
ion Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li c
lass="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/da
se/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification
/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="fin
al" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><l
i class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final active" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2">
<a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Resources</a><span class="spacer">></span></li><li><span class="last">Glossary</span></li></ul></div><div id="page-title"><h1>Glossary</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/m
anual/source/resources/glossary.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Resources</a><span class="spacer">></span></li><li><span class="last">Glossary</span></li></ul></div><div id="page-title"><h1>Glossary</h1></div></div><div class="content"> <p><strong>Data Preparator</strong> - Part of Engine. It reads data from source and transforms it to the desired format.</p><p><strong>Data Source</strong> - Part of Engine. It preprocesses the data and forward it to the algorithm for model training.</p><p><strong>Engine</strong> - An Engine represents a type of prediction, e.g. product recommendation. It is comprised of four components: [D] Data Source and Data Preparator, [A] Algorithm, [S] Serving, [E] Evaluation Metrics.</p><p><strong>EngineClient</strong> - Part of PredictionSDK. It sends queries to a deployed engine instance
through the Engine API and retrives prediction results.</p><p><strong>Event API</strong> - Please see Event Server.</p><p><strong>Event Server</strong> - Event Server is designed to collect data into PredictionIO in an event-based style. Once the Event Server is launched, your application can send data to it through its Event API with HTTP requests or with the EventClient of PredictionIO's SDKs.</p><p><strong>EventClient</strong> - Please see Event Server.</p><p><strong>Live Evaluation</strong> - Evaluation of prediction results in a production environment. Prediction results are shown to real users. Users do not rate the results explicitly but the system observes user behaviors such as click through rate.</p><p><strong>Offline Evaluation</strong> - The prediction results are compared with pre-compiled offline datasets. Typically, offline evaluations are meant to identify the most promising approaches.</p><p><strong>Test Data</strong> - Also commonly referred as Test Set. A set
of data used to assess the strength and utility of a predictive relationship.</p><p><strong>Training Data</strong> - Also commonly referred as Training Set. A set of data used to discover potentially predictive relationships. In PredictionIO Engine, training data is processed through the Data layer and passed onto algorithm.</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div cl
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+<!DOCTYPE html><html><head><title>Glossary</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Glossary"/><link rel="canonical" href="https://predictionio.apache.org/resources/glossary/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS
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le-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Glossary</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="
level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integr
ation Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class=
"level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="fin
al" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><
a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="
final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluat
ion Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li c
lass="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/da
se/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification
/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="fin
al" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><l
i class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final active" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2">
<a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Resources</a><span class="spacer">></span></li><li><span class="last">Glossary</span></li></ul></div><div id="page-title"><h1>Glossary</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/m
anual/source/resources/glossary.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Resources</a><span class="spacer">></span></li><li><span class="last">Glossary</span></li></ul></div><div id="page-title"><h1>Glossary</h1></div></div><div class="content"> <p><strong>Data Preparator</strong> - Part of Engine. It reads data from source and transforms it to the desired format.</p><p><strong>Data Source</strong> - Part of Engine. It preprocesses the data and forward it to the algorithm for model training.</p><p><strong>Engine</strong> - An Engine represents a type of prediction, e.g. product recommendation. It is comprised of four components: [D] Data Source and Data Preparator, [A] Algorithm, [S] Serving, [E] Evaluation Metrics.</p><p><strong>EngineClient</strong> - Part of PredictionSDK. It sends queries to a deployed engine instance
through the Engine API and retrieves prediction results.</p><p><strong>Event API</strong> - Please see Event Server.</p><p><strong>Event Server</strong> - Event Server is designed to collect data into PredictionIO in an event-based style. Once the Event Server is launched, your application can send data to it through its Event API with HTTP requests or with the EventClient of PredictionIO's SDKs.</p><p><strong>EventClient</strong> - Please see Event Server.</p><p><strong>Live Evaluation</strong> - Evaluation of prediction results in a production environment. Prediction results are shown to real users. Users do not rate the results explicitly but the system observes user behaviors such as click through rate.</p><p><strong>Offline Evaluation</strong> - The prediction results are compared with pre-compiled offline datasets. Typically, offline evaluations are meant to identify the most promising approaches.</p><p><strong>Test Data</strong> - Also commonly referred as Test Set. A se
t of data used to assess the strength and utility of a predictive relationship.</p><p><strong>Training Data</strong> - Also commonly referred as Training Set. A set of data used to discover potentially predictive relationships. In PredictionIO Engine, training data is processed through the Data layer and passed onto algorithm.</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div c
lass="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/contribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscribe@predictionio.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class
="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images/logos/logo-white-d1e9c6e6.png"/><span>®</span></div><div id="social-icons-wrapper"><a class="github-button" href="https://github.com/apache/predictionio" data-icon="octicon-star" data-show-count="true" aria-label="Star apache/predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/predictionio/fork" data-icon="octicon-repo-forked" data-show-count="true" aria-label="Fork apache/predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js"></script><a href="https://twitter.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="https://www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5c57939c.png"/></a> </div></div></div></div></div></footer></div><script>(function(w,d,t,u,n,s,e){w['Swiftyp
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/resources/intellij/index.html
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diff --git a/resources/intellij/index.html b/resources/intellij/index.html
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</pre></td></tr></tbody></table> </div></li> <li><p> Program arguments:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>--engine-id dummy --engine-version dummy --engine-variant engine.json --env <span class="nv">dummy</span><span class="o">=</span>dummy
</pre></td></tr></tbody></table> </div></li> </ul> <p>Make sure <em>Working directory</em> is set to the base directory of the template that you are working on.</p><p>Click the folder button to the right of <em>Environment variables</em>, and paste the relevant values from <code>conf/pio-env.sh</code> in your PredictionIO installation directory. The following shows an example using JDBC and PostgreSQL.</p><p><img alt="Example environment variables settings" src="/images/intellij/pio-train-env-vars-36b4c5bd.png"/></p><p>Make sure <em>Include dependencies with "Provided" scope</em> is checked.</p><p>The end result should look something similar to this.</p><p><img alt="Run Configuration" src="/images/intellij/pio-train-e4117867.png"/></p><p>Save and you can run or debug <code>pio train</code> with the new configuration!</p><h3 id='simulating-<code>pio-deploy</code>' class='header-anchors' >Simulating <code>pio deploy</code></h3><p>For <code>pio deploy</code>, simply duplicate
the previous configuration and replace with the following.</p> <ul> <li><p> Main class:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>org.apache.predictionio.workflow.CreateServer
</pre></td></tr></tbody></table> </div></li> <li><p> Program Arguments:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>--engineInstanceId <id_from_pio_train> --engine-variant engine.json
-</pre></td></tr></tbody></table> </div></li> </ul> <h3 id='executing-a-query' class='header-anchors'>Executing a Query</h3><p>You can execute a query with the correct SDK. For a recommender that has been trained with the sample MovieLens dataset perhaps the easiest query is a <code>curl</code> one. Start by running or debuging your <code>pio deploy</code> config so the service is waiting for the query. Then go to the "Terminal" tab at the very bottom of the IntelliJ IDEA window and enter the <code>curl</code> request:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>curl -H <span class="s2">"Content-Type: application/json"</span> -d <span class="s1">'{ "user": "1", "num": 4 }'</span> http://localhost:8000/queries.json
+</pre></td></tr></tbody></table> </div></li> </ul> <h3 id='executing-a-query' class='header-anchors'>Executing a Query</h3><p>You can execute a query with the correct SDK. For a recommender that has been trained with the sample MovieLens dataset perhaps the easiest query is a <code>curl</code> one. Start by running or debugging your <code>pio deploy</code> config so the service is waiting for the query. Then go to the "Terminal" tab at the very bottom of the IntelliJ IDEA window and enter the <code>curl</code> request:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>curl -H <span class="s2">"Content-Type: application/json"</span> -d <span class="s1">'{ "user": "1", "num": 4 }'</span> http://localhost:8000/queries.json
</pre></td></tr></tbody></table> </div> <p>This should return something like:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
[04/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/javaecommercerecommendation/dase/index.html
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<span class="o">...</span>
<span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>Parameter description:</p> <ul> <li><strong>appName</strong>: Your App name. Events defined by "seenItemEvents" and "similarItemEvents" will be read from this app during <code>predict</code>.</li> <li><strong>unseenOnly</strong>: true or false. Set to true if you want to recommmend unseen items only. Seen items are defined by <em>seenItemEvents</em> which mean if the user has these events on the items, then it's treated as <em>seen</em>.</li> <li><strong>seenItemEvents</strong>: A list of user-to-item events which will be treated as <em>seen</em> events. Used when <em>unseenOnly</em> is set to true.</li> <li><strong>similarItemEvents</strong>: A list of user-item-item events which will be used to find similar items to the items which the user has performend these events on.</li> <li><strong>rank</strong>: Parameter of the MLlib ALS algorithm. Number of latent features.</li> <li><strong>iteration</strong>: Parameter o
f the MLlib ALS algorithm. Number of iterations.</li> <li><strong>lambda</strong>: Regularization parameter of the MLlib ALS algorithm.</li> <li><strong>seed</strong>: A random seed of the MLlib ALS algorithm.</li> </ul> <h3 id='train(...)' class='header-anchors'>train(...)</h3><p><code>train</code> is called when you run <strong>pio train</strong>. This is where MLlib ALS algorithm, i.e. <code>ALS.trainImplicit()</code>, is used to train a predictive model. In addition, we also count the number of items being bought for each item as default model which will be used when there is no ALS model available or other useful information about the user is available during <code>predict</code>.</p><div class="highlight java"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Parameter description:</p> <ul> <li><strong>appName</strong>: Your App name. Events defined by "seenItemEvents" and "similarItemEvents" will be read from this app during <code>predict</code>.</li> <li><strong>unseenOnly</strong>: true or false. Set to true if you want to recommend unseen items only. Seen items are defined by <em>seenItemEvents</em> which mean if the user has these events on the items, then it's treated as <em>seen</em>.</li> <li><strong>seenItemEvents</strong>: A list of user-to-item events which will be treated as <em>seen</em> events. Used when <em>unseenOnly</em> is set to true.</li> <li><strong>similarItemEvents</strong>: A list of user-item-item events which will be used to find similar items to the items which the user has performed these events on.</li> <li><strong>rank</strong>: Parameter of the MLlib ALS algorithm. Number of latent features.</li> <li><strong>iteration</strong>: Parameter of
the MLlib ALS algorithm. Number of iterations.</li> <li><strong>lambda</strong>: Regularization parameter of the MLlib ALS algorithm.</li> <li><strong>seed</strong>: A random seed of the MLlib ALS algorithm.</li> </ul> <h3 id='train(...)' class='header-anchors'>train(...)</h3><p><code>train</code> is called when you run <strong>pio train</strong>. This is where MLlib ALS algorithm, i.e. <code>ALS.trainImplicit()</code>, is used to train a predictive model. In addition, we also count the number of items being bought for each item as default model which will be used when there is no ALS model available or other useful information about the user is available during <code>predict</code>.</p><div class="highlight java"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/javaecommercerecommendation/quickstart/index.html
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diff --git a/templates/javaecommercerecommendation/quickstart/index.html b/templates/javaecommercerecommendation/quickstart/index.html
index b826675..259f689 100644
--- a/templates/javaecommercerecommendation/quickstart/index.html
+++ b/templates/javaecommercerecommendation/quickstart/index.html
@@ -32,7 +32,7 @@ Your system is all ready to go.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
-</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect training data for this Engine. By default, the E-Commerce Recommendation Engine Template supports 2 types of entities and 2 events: <strong>user</strong> and <strong>item</strong>; events <strong>view</strong> and <strong>buy</strong>. An item has the <strong>categories</strong> property, which is a list of category names (String). A user can view and buy an item. The specical <strong>constraint</strong> entiy with entityId <strong>unavailableItems</strong> defines a list of unavailable items and is taken into account in realtime during serving.</p><p>In summary, this template requires '$set' user event, '$set' item event, user-view-item events, user-buy-item event and '$set' constraint event.</p><div class="alert-message info"><p>This template can easily be customized to consider other user-to-it
em events.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when a new user with id "u0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for this user. To send this
event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-f2c0c497-f8bd-4487-be43-a10fe4e1cc4b">REST API</a></li> <li data-lang="python"><a href="#tab-a5db0129-0913-411e-8893-5fa3c759b46e">Python SDK</a></li> <li data-lang="php"><a href="#tab-d6692edb-ad6d-4cb8-8523-f2a2f3bc3ec6">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-f442678c-6f9f-4f82-b6d8-473ffcbe877f">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-762bdfe5-007e-4673-8b96-d0693925ce7d">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-f2c0c497-f8bd-4487-be43-a10fe4e1cc4b"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect training data for this Engine. By default, the E-Commerce Recommendation Engine Template supports 2 types of entities and 2 events: <strong>user</strong> and <strong>item</strong>; events <strong>view</strong> and <strong>buy</strong>. An item has the <strong>categories</strong> property, which is a list of category names (String). A user can view and buy an item. The specical <strong>constraint</strong> entiy with entityId <strong>unavailableItems</strong> defines a list of unavailable items and is taken into account in realtime during serving.</p><p>In summary, this template requires '$set' user event, '$set' item event, user-view-item events, user-buy-item event and '$set' constraint event.</p><div class="alert-message info"><p>This template can easily be customized to consider other user-to-it
em events.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when a new user with id "u0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for this user. To send this
event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-dafdb525-4c9d-4289-b6a7-7276edab05de">REST API</a></li> <li data-lang="python"><a href="#tab-28884d63-a3ee-4c67-a8a2-f32814596982">Python SDK</a></li> <li data-lang="php"><a href="#tab-e36f20d1-d545-4861-baae-3ff7a9ee8a1f">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-2540ebbc-d5eb-45a3-9ae3-718460357a38">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-c178773f-c876-4dd2-b50c-2c4d7f06f7a9">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-dafdb525-4c9d-4289-b6a7-7276edab05de"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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"entityId" : "u0",
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-a5db0129-0913-411e-8893-5fa3c759b46e"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-28884d63-a3ee-4c67-a8a2-f32814596982"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -78,7 +78,7 @@ Your system is all ready to go.
<span class="n">entity_type</span><span class="o">=</span><span class="s">"user"</span><span class="p">,</span>
<span class="n">entity_id</span><span class="o">=<</span><span class="n">USER_ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-d6692edb-ad6d-4cb8-8523-f2a2f3bc3ec6"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-e36f20d1-d545-4861-baae-3ff7a9ee8a1f"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -119,7 +119,7 @@ Your system is all ready to go.
<span class="s1">'properties'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'categories'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'<CATEGORY_1>'</span><span class="p">,</span> <span class="s1">'<CATEGORY_2>'</span><span class="p">))</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-f442678c-6f9f-4f82-b6d8-473ffcbe877f"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-2540ebbc-d5eb-45a3-9ae3-718460357a38"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -136,7 +136,7 @@ Your system is all ready to go.
<span class="s1">'user'</span><span class="p">,</span>
<span class="o"><</span><span class="no">USER</span> <span class="no">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-762bdfe5-007e-4673-8b96-d0693925ce7d"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-c178773f-c876-4dd2-b50c-2c4d7f06f7a9"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -161,7 +161,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">entityType</span><span class="o">(</span><span class="s">"user"</span><span class="o">)</span>
<span class="o">.</span><span class="na">entityId</span><span class="o">(<</span><span class="n">USER_ID</span><span class="o">>);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">userEvent</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a new item "i0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for the item. Note that the item is set with categories properties: <code>"c1"</code> and <code>"c2"</code>. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-6da326ff-2ef1-4b6f-be50-79e544cf059e">REST API</a></li> <li data-lang="python"><a href="#tab-88bdea17-5603-4895-8fd9-0e6530dccdb1">Python SDK</a></li> <li data-lang="php"><a href="#tab-2bfc3b06-5af4-46c7-a7d0-160163a53aee">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-8dbbf899-cf2a-4530-bc9a-bc248bfb2f86">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-b4e2a23f-a903-414c-88c5-d5ef1a474b84">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-6da326
ff-2ef1-4b6f-be50-79e544cf059e"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a new item "i0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for the item. Note that the item is set with categories properties: <code>"c1"</code> and <code>"c2"</code>. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-d797148c-66f6-4c1c-9fbf-ae81455eb452">REST API</a></li> <li data-lang="python"><a href="#tab-96ec9ed3-a6de-4a32-8ebe-8411fdfdbec7">Python SDK</a></li> <li data-lang="php"><a href="#tab-3b5d644c-0452-4147-96a5-e80fc9baed61">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-a6f472b4-4545-45ca-9c17-3c9ef9e677e5">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-d7f92076-6d48-4c47-bf28-b1aa2520fbc0">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-d79714
8c-66f6-4c1c-9fbf-ae81455eb452"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -182,7 +182,7 @@ Your system is all ready to go.
}
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-88bdea17-5603-4895-8fd9-0e6530dccdb1"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-96ec9ed3-a6de-4a32-8ebe-8411fdfdbec7"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -201,7 +201,7 @@ Your system is all ready to go.
<span class="s">"categories"</span> <span class="p">:</span> <span class="p">[</span><span class="s">"<CATEGORY_1>"</span><span class="p">,</span> <span class="s">"<CATEGORY_2>"</span><span class="p">]</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-2bfc3b06-5af4-46c7-a7d0-160163a53aee"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-3b5d644c-0452-4147-96a5-e80fc9baed61"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -218,7 +218,7 @@ Your system is all ready to go.
<span class="s1">'properties'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'categories'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'<CATEGORY_1>'</span><span class="p">,</span> <span class="s1">'<CATEGORY_2>'</span><span class="p">))</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-8dbbf899-cf2a-4530-bc9a-bc248bfb2f86"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-a6f472b4-4545-45ca-9c17-3c9ef9e677e5"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -235,7 +235,7 @@ Your system is all ready to go.
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-b4e2a23f-a903-414c-88c5-d5ef1a474b84"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-d7f92076-6d48-4c47-bf28-b1aa2520fbc0"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -248,7 +248,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">entityId</span><span class="o">(<</span><span class="n">ITEM_ID</span><span class="o">>)</span>
<span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"categories"</span><span class="o">,</span> <span class="n">ImmutableList</span><span class="o">.</span><span class="na">of</span><span class="o">(</span><span class="s">"<CATEGORY_1>"</span><span class="o">,</span> <span class="s">"<CATEGORY_2>"</span><span class="o">));</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">itemEvent</span><span class="o">)</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>The properties of the <code>user</code> and <code>item</code> can be set, unset, or delete by special events <strong>$set</strong>, <strong>$unset</strong> and <strong>$delete</strong>. Please refer to <a href="/datacollection/eventapi/#note-about-properties">Event API</a> for more details of using these events.</p><p>When the user "u0" view item "i0" on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-76aa6e11-6b03-4862-8d1a-2861dc81a3f1">REST API</a></li> <li data-lang="python"><a href="#tab-a90c1ec5-c0ee-41b3-9276-28a9df0824dc">Python SDK</a></li> <li data-lang="php"><a href="#tab-773a7156-4400-45d1-a74e-c82fef1ad3ec">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-a30f3fab-7556-4063-a292-df3de7
25999b">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-dfa2d1c5-f5bf-4c8c-9a58-71ec4eb54f1d">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-76aa6e11-6b03-4862-8d1a-2861dc81a3f1"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>The properties of the <code>user</code> and <code>item</code> can be set, unset, or delete by special events <strong>$set</strong>, <strong>$unset</strong> and <strong>$delete</strong>. Please refer to <a href="/datacollection/eventapi/#note-about-properties">Event API</a> for more details of using these events.</p><p>When the user "u0" view item "i0" on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-7fe0db51-ab6a-4619-972c-518953370035">REST API</a></li> <li data-lang="python"><a href="#tab-6eec9a05-7b0b-40cb-b655-83178ed42cf9">Python SDK</a></li> <li data-lang="php"><a href="#tab-b38124f3-b67b-4df8-969d-decbc7b26837">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-3d133087-c60e-4fd6-975a-93e3de
baa9ea">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-29ffa79e-0154-45be-9289-d098bbf94fec">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-7fe0db51-ab6a-4619-972c-518953370035"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -267,7 +267,7 @@ Your system is all ready to go.
"targetEntityId" : "i0",
"eventTime" : "2014-11-10T12:34:56.123-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-a90c1ec5-c0ee-41b3-9276-28a9df0824dc"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-6eec9a05-7b0b-40cb-b655-83178ed42cf9"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -284,7 +284,7 @@ Your system is all ready to go.
<span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-773a7156-4400-45d1-a74e-c82fef1ad3ec"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-b38124f3-b67b-4df8-969d-decbc7b26837"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -303,7 +303,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-a30f3fab-7556-4063-a292-df3de725999b"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-3d133087-c60e-4fd6-975a-93e3debaa9ea"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -322,7 +322,7 @@ Your system is all ready to go.
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-dfa2d1c5-f5bf-4c8c-9a58-71ec4eb54f1d"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-29ffa79e-0154-45be-9289-d098bbf94fec"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -337,7 +337,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">targetEntityType</span><span class="o">(</span><span class="s">"item"</span><span class="o">)</span>
<span class="o">.</span><span class="na">targetEntityId</span><span class="o">(<</span><span class="n">ITEM_ID</span><span class="o">>);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">viewEvent</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>When the user "u0" buy item "i0" on time <code>2014-11-10T13:00:00.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-ce441f13-c6c4-480c-a347-8549b8bb5bf0">REST API</a></li> <li data-lang="python"><a href="#tab-6910fb10-7283-4c33-a4cb-9a2acb883dd7">Python SDK</a></li> <li data-lang="php"><a href="#tab-4c41e52d-4edd-4558-8b3c-0bb52cdee440">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-ce55929b-1a92-467b-95f6-8b30f45f94ce">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-50d8c8ac-9fab-4f84-942c-a3efbe3e969e">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-ce441f13-c6c4-480c-a347-8549b8bb5bf0"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-
align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>When the user "u0" buy item "i0" on time <code>2014-11-10T13:00:00.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-3fdf4096-a36e-42f6-84c0-234e45b916f9">REST API</a></li> <li data-lang="python"><a href="#tab-f24aab35-3b91-4c3c-82a7-66070a1538fe">Python SDK</a></li> <li data-lang="php"><a href="#tab-103a8031-cf42-4c81-9f09-7211993d65ab">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-cc70547e-a201-48ef-a7ba-3297c90a6e8a">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-808e8e2f-9c7b-4ccc-957e-83e40e53400f">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-3fdf4096-a36e-42f6-84c0-234e45b916f9"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-
align: right"><pre class="lineno">1
2
3
4
@@ -356,7 +356,7 @@ Your system is all ready to go.
"targetEntityId" : "i0",
"eventTime" : "2014-11-10T13:00:00.123-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-6910fb10-7283-4c33-a4cb-9a2acb883dd7"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-f24aab35-3b91-4c3c-82a7-66070a1538fe"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -373,7 +373,7 @@ Your system is all ready to go.
<span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-4c41e52d-4edd-4558-8b3c-0bb52cdee440"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-103a8031-cf42-4c81-9f09-7211993d65ab"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -392,7 +392,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-ce55929b-1a92-467b-95f6-8b30f45f94ce"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-cc70547e-a201-48ef-a7ba-3297c90a6e8a"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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@@ -409,7 +409,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">></span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-50d8c8ac-9fab-4f84-942c-a3efbe3e969e"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-808e8e2f-9c7b-4ccc-957e-83e40e53400f"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -490,19 +490,19 @@ User u10 buys item i40
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve predicted results. To recommend 4 items to user ID "u1". You send this JSON <code>{ "userEntityId": "u1", "number": 4 }</code> to the deployed engine and it will return a JSON of the recommended items. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li da
ta-lang="json"><a href="#tab-ac957b45-1ec9-44b2-8557-6d68c040896b">REST API</a></li> <li data-lang="python"><a href="#tab-7b894272-b55e-4e2f-9d3e-df5278e9f88b">Python SDK</a></li> <li data-lang="php"><a href="#tab-1a64e410-7773-4364-bd2a-fa6200cb6b50">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-737d5efa-24a7-4a74-8d99-0973f5b3c4a9">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-037c91e3-3908-45b3-b2fc-74b1b9d84827">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-ac957b45-1ec9-44b2-8557-6d68c040896b"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve predicted results. To recommend 4 items to user ID "u1". You send this JSON <code>{ "userEntityId": "u1", "number": 4 }</code> to the deployed engine and it will return a JSON of the recommended items. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li da
ta-lang="json"><a href="#tab-8b4197b7-d4e1-42f7-84a8-0915be5f1d95">REST API</a></li> <li data-lang="python"><a href="#tab-01f45411-e577-4680-a8e5-726b7b66965f">Python SDK</a></li> <li data-lang="php"><a href="#tab-339a066e-15f3-44ad-8280-956b8209dd6b">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-f7ffcf2b-9e92-47b4-b01f-cfea846eb9c8">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-55b3056f-01d5-4560-8a7c-5ff1785409d4">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-8b4197b7-d4e1-42f7-84a8-0915be5f1d95"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{ "userEntityId": "u1", "number": 4 }'</span> <span class="se">\</span>
http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-7b894272-b55e-4e2f-9d3e-df5278e9f88b"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-01f45411-e577-4680-a8e5-726b7b66965f"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">predictionio</span>
<span class="n">engine_client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EngineClient</span><span class="p">(</span><span class="n">url</span><span class="o">=</span><span class="s">"http://localhost:8000"</span><span class="p">)</span>
<span class="k">print</span> <span class="n">engine_client</span><span class="o">.</span><span class="n">send_query</span><span class="p">({</span><span class="s">"userEntityId"</span><span class="p">:</span> <span class="s">"u1"</span><span class="p">,</span> <span class="s">"number"</span><span class="p">:</span> <span class="mi">4</span><span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-1a64e410-7773-4364-bd2a-fa6200cb6b50"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-339a066e-15f3-44ad-8280-956b8209dd6b"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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4
@@ -521,7 +521,7 @@ http://localhost:8000/queries.json
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-737d5efa-24a7-4a74-8d99-0973f5b3c4a9"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-f7ffcf2b-9e92-47b4-b01f-cfea846eb9c8"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -534,7 +534,7 @@ http://localhost:8000/queries.json
<span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="nf">send_query</span><span class="p">(</span><span class="s1">'userEntityId'</span> <span class="o">=></span> <span class="s1">'i1'</span><span class="p">,</span> <span class="s1">'number'</span> <span class="o">=></span> <span class="mi">4</span><span class="p">)</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-037c91e3-3908-45b3-b2fc-74b1b9d84827"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-55b3056f-01d5-4560-8a7c-5ff1785409d4"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -578,7 +578,7 @@ http://localhost:8000/queries.json
<span class="o">{</span><span class="s2">"itemEntityId"</span>:<span class="s2">"i3"</span>,<span class="s2">"score"</span>:0.003007015026561692<span class="o">}</span>
<span class="o">]</span>
<span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p><em>MyECommerceRecommendation</em> is now running.</p> <div class="alert-message info"><p>To update the model periodically with new data, simply set up a cron job to call <code>pio train</code> and <code>pio deploy</code>. The engine will continue to serve prediction results during the re-train process. After the training is completed, <code>pio deploy</code> will automatically shutdown the existing engine server and bring up a new process on the same port.</p></div><div class="alert-message info"><p><strong>Note that if you import a <em>large</em> data set</strong> and the training seems to be taking forever or getting stuck, it's likely that there is not enough executor memory. It's recommended to setup a Spark standalone cluster, you'll need to specify more driver and executor memory when training with a large data set. Please see <a href="/resources/faq/#engine-training">FAQ here</a> for instructions.</p></div> <h2 id='setti
ng-constraint-"unavailableitems"' class='header-anchors'>Setting constraint "unavailableItems"</h2><p>Now let's send an item constraint "unavailableItems" (replace accessKey with your Access Key):</p><div class="alert-message note"><p>You can also use SDK to send this event as described in the SDK sample above.</p></div><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-d2d60dc7-34ac-403a-8a3d-b073c6e5b84f">REST API</a></li> <li data-lang="python"><a href="#tab-976aae3b-00df-4141-8a82-e7446ce6f443">Python SDK</a></li> <li data-lang="php"><a href="#tab-2e3c4d7a-b35d-41bd-8967-8fe26b1c2259">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-a80970a1-3921-4553-9d97-02f192f66977">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-e4ed2ce2-6f84-4c85-ba40-4955f5433147">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-d2d60dc7-34ac-403a-8a3d-b073c6e5b84f"> <div class="highlight shell"> <table style="borde
r-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><em>MyECommerceRecommendation</em> is now running.</p> <div class="alert-message info"><p>To update the model periodically with new data, simply set up a cron job to call <code>pio train</code> and <code>pio deploy</code>. The engine will continue to serve prediction results during the re-train process. After the training is completed, <code>pio deploy</code> will automatically shutdown the existing engine server and bring up a new process on the same port.</p></div><div class="alert-message info"><p><strong>Note that if you import a <em>large</em> data set</strong> and the training seems to be taking forever or getting stuck, it's likely that there is not enough executor memory. It's recommended to setup a Spark standalone cluster, you'll need to specify more driver and executor memory when training with a large data set. Please see <a href="/resources/faq/#engine-training">FAQ here</a> for instructions.</p></div> <h2 id='setti
ng-constraint-"unavailableitems"' class='header-anchors'>Setting constraint "unavailableItems"</h2><p>Now let's send an item constraint "unavailableItems" (replace accessKey with your Access Key):</p><div class="alert-message note"><p>You can also use SDK to send this event as described in the SDK sample above.</p></div><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-c670b315-751b-4453-adf3-e515d3e9d625">REST API</a></li> <li data-lang="python"><a href="#tab-a27bd1c7-d526-4398-8c12-3fbb8b92faff">Python SDK</a></li> <li data-lang="php"><a href="#tab-42b5bb4d-0cac-4f9f-b60d-860fb1b4c273">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-23cd4ec2-c08c-4421-b5b1-94d4e1e6ad35">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-5d020d20-4209-4357-a8fa-b99b08df14b2">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-c670b315-751b-4453-adf3-e515d3e9d625"> <div class="highlight shell"> <table style="borde
r-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -599,7 +599,7 @@ http://localhost:8000/queries.json
}
"eventTime" : "2015-02-17T02:11:21.934Z"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-976aae3b-00df-4141-8a82-e7446ce6f443"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-a27bd1c7-d526-4398-8c12-3fbb8b92faff"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -618,7 +618,7 @@ http://localhost:8000/queries.json
<span class="s">"items"</span> <span class="p">:</span> <span class="p">[</span><span class="s">"<ITEM ID1>"</span><span class="p">,</span> <span class="s">"<ITEM ID2>"</span><span class="p">]</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-2e3c4d7a-b35d-41bd-8967-8fe26b1c2259"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-42b5bb4d-0cac-4f9f-b60d-860fb1b4c273"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -635,7 +635,7 @@ http://localhost:8000/queries.json
<span class="s1">'properties'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'items'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'<ITEM ID1>'</span><span class="p">,</span> <span class="s1">'<ITEM ID2>'</span><span class="p">))</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-a80970a1-3921-4553-9d97-02f192f66977"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-23cd4ec2-c08c-4421-b5b1-94d4e1e6ad35"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -650,7 +650,7 @@ http://localhost:8000/queries.json
<span class="s1">'properties'</span> <span class="o">=></span> <span class="p">{</span> <span class="s1">'items'</span> <span class="o">=></span> <span class="p">[</span><span class="s1">'<ITEM ID1>'</span><span class="p">,</span> <span class="s1">'<ITEM ID2>'</span><span class="p">]</span> <span class="p">}</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-e4ed2ce2-6f84-4c85-ba40-4955f5433147"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-5d020d20-4209-4357-a8fa-b99b08df14b2"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/leadscoring/dase/index.html
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diff --git a/templates/leadscoring/dase/index.html b/templates/leadscoring/dase/index.html
index e48dcea..080b271 100644
--- a/templates/leadscoring/dase/index.html
+++ b/templates/leadscoring/dase/index.html
@@ -196,7 +196,7 @@
<span class="o">}</span>,
...
<span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>In <code>readTraining()</code>, <code>PEventStore</code> is an object which provides function to access data that is collected by PredictionIO Event Server.</p><p>This Lead Scoring Engine Template requires "view" and "buy" events with <code>sessionId</code> in event property.</p><p><code>PEventStore.find(...)</code> specifies the events that you want to read. In this case, "user view page" and "user buy item" events are read and then each is mapped to tuple of (sessionId, event). The event are then "cogrouped" by sessionId to find out the information in the session, such as first page view (landing page view), and whether the user converts (buy event), to craete a RDD of Session as TrainingData:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>In <code>readTraining()</code>, <code>PEventStore</code> is an object which provides function to access data that is collected by PredictionIO Event Server.</p><p>This Lead Scoring Engine Template requires "view" and "buy" events with <code>sessionId</code> in event property.</p><p><code>PEventStore.find(...)</code> specifies the events that you want to read. In this case, "user view page" and "user buy item" events are read and then each is mapped to tuple of (sessionId, event). The event are then "cogrouped" by sessionId to find out the information in the session, such as first page view (landing page view), and whether the user converts (buy event), to create a RDD of Session as TrainingData:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -226,7 +226,7 @@
<span class="k">val</span> <span class="n">featureIndex</span><span class="k">:</span> <span class="kt">Map</span><span class="o">[</span><span class="kt">String</span>, <span class="kt">Int</span><span class="o">],</span>
<span class="k">val</span> <span class="n">featureCategoricalIntMap</span><span class="k">:</span> <span class="kt">Map</span><span class="o">[</span><span class="kt">String</span>, <span class="kt">Map</span><span class="o">[</span><span class="kt">String</span>, <span class="kt">Int</span><span class="o">]]</span>
<span class="o">)</span> <span class="k">extends</span> <span class="nc">Serializable</span>
-</pre></td></tr></tbody></table> </div> <p>The <code>LabeledPoint</code> class is defined in Spark MLlib and it's required for the RandomForest Algorithm. The <code>featureIndex</code> is a Map of feature name to the position index in the feature vector. <code>featureCategoricalIntMap</code> is a Map of categorical feature name to the Map of categorical value map for this feature.</p><p>By default, the feature used for classification is "landingPage", "referrer" and "browser". Since these features contain categorical values, we need to create a map of categorical values to the integer values for the algorithm to use.</p><div class="alert-message note"><p>You can customize the tempate to use other features.</p></div><p>For example, if the feature "landingPage" can be any of the following values: "page1", "page2", "page3", "page4". We can create a categorical Int value Map, such as:</p><div class="high
light scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>The <code>LabeledPoint</code> class is defined in Spark MLlib and it's required for the RandomForest Algorithm. The <code>featureIndex</code> is a Map of feature name to the position index in the feature vector. <code>featureCategoricalIntMap</code> is a Map of categorical feature name to the Map of categorical value map for this feature.</p><p>By default, the feature used for classification is "landingPage", "referrer" and "browser". Since these features contain categorical values, we need to create a map of categorical values to the integer values for the algorithm to use.</p><div class="alert-message note"><p>You can customize the template to use other features.</p></div><p>For example, if the feature "landingPage" can be any of the following values: "page1", "page2", "page3", "page4". We can create a categorical Int value Map, such as:</p><div class="hig
hlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -237,7 +237,7 @@
<span class="s">"page3"</span> <span class="o">-></span> <span class="mi">2</span><span class="o">,</span>
<span class="s">"page4"</span> <span class="o">-></span> <span class="mi">3</span>
<span class="o">)</span>
-</pre></td></tr></tbody></table> </div> <p>Instead of manually create such Map, a helper method <code>createCategoricalIntMap()</code> is defined in <strong>Prepraator.scala</strong> for this purpose.</p><p>Each <code>labeledPoint</code> is a label and a feature vector. The element index of the vector for the coresponding feature is defined by <code>featureIndex</code> Map. By default, it's defined as</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Instead of manually create such Map, a helper method <code>createCategoricalIntMap()</code> is defined in <strong>Prepraator.scala</strong> for this purpose.</p><p>Each <code>labeledPoint</code> is a label and a feature vector. The element index of the vector for the corresponding feature is defined by <code>featureIndex</code> Map. By default, it's defined as</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/leadscoring/quickstart/index.html
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diff --git a/templates/leadscoring/quickstart/index.html b/templates/leadscoring/quickstart/index.html
index 30caf24..cfd78fb 100644
--- a/templates/leadscoring/quickstart/index.html
+++ b/templates/leadscoring/quickstart/index.html
@@ -32,7 +32,7 @@ Your system is all ready to go.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
-</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect training data for this Engine. By default, Lead Scoring Engine Template supports the following entities: <strong>user</strong>, <strong>page</strong>, and <strong>item</strong>. An user views a page, and buys an item.</p><p>Note that a "sessionId" property is required to indicate these events happen in the same session. In the first visit of a user, you should specify the optional "referrral ID" and "browser" information. These are used to determine where the user comes from and the browser information.</p><p>In summary, this template requires user-view-page event and user-buy-item events with the session ID, referrer ID and browser properties.</p> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a
href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when an user with ID u0 views a URL page "example.com/page0" on time <code>2014-11-02T09:39:45.618-08:00</code>, with session ID "akdj230fj8ass" (current time will be used if eventTime is not specified) you can send the event to Event Server. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-816862ec-a2c3-4f25-
8c9e-dca6551f2ca0">REST API</a></li> <li data-lang="python"><a href="#tab-df5742ac-010a-43ee-baaf-38aa40d4c971">Python SDK</a></li> <li data-lang="php"><a href="#tab-77f615c0-a797-4ba0-9ce4-987818d2379d">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-89e415fa-b961-4404-81db-b957e6dac5b3">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-81e14241-c952-4125-aa30-559ba85cd8fe">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-816862ec-a2c3-4f25-8c9e-dca6551f2ca0"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect training data for this Engine. By default, Lead Scoring Engine Template supports the following entities: <strong>user</strong>, <strong>page</strong>, and <strong>item</strong>. An user views a page, and buys an item.</p><p>Note that a "sessionId" property is required to indicate these events happen in the same session. In the first visit of a user, you should specify the optional "referrral ID" and "browser" information. These are used to determine where the user comes from and the browser information.</p><p>In summary, this template requires user-view-page event and user-buy-item events with the session ID, referrer ID and browser properties.</p> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a
href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when an user with ID u0 views a URL page "example.com/page0" on time <code>2014-11-02T09:39:45.618-08:00</code>, with session ID "akdj230fj8ass" (current time will be used if eventTime is not specified) you can send the event to Event Server. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-a8de3ec3-4854-4c59-
aa3a-4db76764cace">REST API</a></li> <li data-lang="python"><a href="#tab-6cbf9eca-a038-474b-9816-3b19453e6582">Python SDK</a></li> <li data-lang="php"><a href="#tab-f329c062-f105-453b-822f-e69f1e873b5e">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-907789b4-5b2a-49b0-8696-f96fb796b50b">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-84ab8ae6-6dc0-4227-951a-a31fcbc1d969">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-a8de3ec3-4854-4c59-aa3a-4db76764cace"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -61,7 +61,7 @@ Your system is all ready to go.
}
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-df5742ac-010a-43ee-baaf-38aa40d4c971"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-6cbf9eca-a038-474b-9816-3b19453e6582"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -106,7 +106,7 @@ Your system is all ready to go.
<span class="s">"browser"</span><span class="p">:</span> <span class="o"><</span><span class="n">BROWSER</span><span class="o">></span> <span class="c"># optinal. but should specify this if you have this information when user views the landing page</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-77f615c0-a797-4ba0-9ce4-987818d2379d"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-f329c062-f105-453b-822f-e69f1e873b5e"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -145,7 +145,7 @@ Your system is all ready to go.
<span class="p">)</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-89e415fa-b961-4404-81db-b957e6dac5b3"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-907789b4-5b2a-49b0-8696-f96fb796b50b"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -178,7 +178,7 @@ Your system is all ready to go.
<span class="p">}</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-81e14241-c952-4125-aa30-559ba85cd8fe"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-84ab8ae6-6dc0-4227-951a-a31fcbc1d969"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -213,7 +213,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"referrerId"</span><span class="o">,</span> <span class="s">"<REFERRER ID>"</span><span class="o">)</span>
<span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"browser"</span><span class="o">,</span> <span class="s">"<BROWSER>"</span><span class="o">);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">viewEvent</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>In the same browing session "akdj230fj8ass", the user with ID u0 buys an item i0 on time <code>2014-11-02T09:42:00.123-08:00</code> (current time will be used if eventTime is not specified), you can send the following buy event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-c0ee3dd0-6b2d-4bb5-8c9f-505d0c56f12d">REST API</a></li> <li data-lang="python"><a href="#tab-5ca1ad9a-9f5d-4c2d-95cb-6ced000c15ed">Python SDK</a></li> <li data-lang="php"><a href="#tab-7793d2e0-654e-4561-85a9-16d781ca3f9e">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-88fd8335-c787-463b-8f4d-869be75ca54e">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-f858827b-2e13-46ce-9ab6-b80c6c4ab74a">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-c0ee3dd0-6b2d-4bb5-8c9f-505d0c56f12d"> <div class="highlight shell"> <table style="border-spacing:
0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>In the same browsing session "akdj230fj8ass", the user with ID u0 buys an item i0 on time <code>2014-11-02T09:42:00.123-08:00</code> (current time will be used if eventTime is not specified), you can send the following buy event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-8132fa02-ef56-422a-af09-43cd5e5e0ff0">REST API</a></li> <li data-lang="python"><a href="#tab-0896783c-42ce-411f-995b-94dd897bbe0f">Python SDK</a></li> <li data-lang="php"><a href="#tab-75438f58-363a-4ca4-af9f-989c18f27f20">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-c3aa617d-738f-46e5-9bb8-077582232578">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-fcc129ac-7cd5-44a8-951f-0307b6ad1d34">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-8132fa02-ef56-422a-af09-43cd5e5e0ff0"> <div class="highlight shell"> <table style="border-spacing:
0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -238,7 +238,7 @@ Your system is all ready to go.
}
"eventTime" : "2014-11-02T09:42:00.123-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-5ca1ad9a-9f5d-4c2d-95cb-6ced000c15ed"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-0896783c-42ce-411f-995b-94dd897bbe0f"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -261,7 +261,7 @@ Your system is all ready to go.
<span class="s">"sessionId"</span><span class="p">:</span> <span class="o"><</span><span class="n">SESSION</span> <span class="n">ID</span><span class="o">></span><span class="p">,</span> <span class="c"># required</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-7793d2e0-654e-4561-85a9-16d781ca3f9e"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-75438f58-363a-4ca4-af9f-989c18f27f20"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -288,7 +288,7 @@ Your system is all ready to go.
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-88fd8335-c787-463b-8f4d-869be75ca54e"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-c3aa617d-738f-46e5-9bb8-077582232578"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -311,7 +311,7 @@ Your system is all ready to go.
<span class="p">}</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-f858827b-2e13-46ce-9ab6-b80c6c4ab74a"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-fcc129ac-7cd5-44a8-951f-0307b6ad1d34"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -371,7 +371,7 @@ User u5 buys item i5
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve the results. When a user lands on your page "example.com/page9", with referrer "referrer10.com" and browser "Firefox", you can get the predicted lead score by sending this JSON '{ "landingPageId" : "example.com/page9", "referrerId" : "referrer10.com", "browser": "Firefox" }' to the deployed engine. The engine will return a JSON with the score.</p><p>Simply send a query by making a HTTP request or through the <code>EngineClient
</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-6fce22da-c8c9-48b2-ad9b-a29e5f8b8374">REST API</a></li> <li data-lang="python"><a href="#tab-7141ef5b-dd70-45c9-a79c-92869c21d4bf">Python SDK</a></li> <li data-lang="php"><a href="#tab-42827bf0-b420-4799-bc21-88bd886cbe61">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-ab9e6fab-b122-459e-a814-523103cef3c5">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-caa94668-3d00-41af-ac04-fc6a311aaf28">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-6fce22da-c8c9-48b2-ad9b-a29e5f8b8374"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve the results. When a user lands on your page "example.com/page9", with referrer "referrer10.com" and browser "Firefox", you can get the predicted lead score by sending this JSON '{ "landingPageId" : "example.com/page9", "referrerId" : "referrer10.com", "browser": "Firefox" }' to the deployed engine. The engine will return a JSON with the score.</p><p>Simply send a query by making a HTTP request or through the <code>EngineClient
</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-3ecb7252-158a-457c-883f-a59f62fe20c9">REST API</a></li> <li data-lang="python"><a href="#tab-614b797a-ad9d-4f6e-b21e-b429496fb763">Python SDK</a></li> <li data-lang="php"><a href="#tab-f4841e7a-ba7f-45c1-9896-73cf3d47a7a0">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-2d7c9ac1-cbd1-4318-9b58-e64bfe00df7a">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-125f7c00-3457-4eca-9306-6199c4c6fd95">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-3ecb7252-158a-457c-883f-a59f62fe20c9"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -384,7 +384,7 @@ User u5 buys item i5
"browser": "Firefox" }'</span> <span class="se">\</span>
http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-7141ef5b-dd70-45c9-a79c-92869c21d4bf"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-614b797a-ad9d-4f6e-b21e-b429496fb763"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -397,7 +397,7 @@ http://localhost:8000/queries.json
<span class="s">"referrerId"</span> <span class="p">:</span> <span class="s">"referrer10.com"</span><span class="p">,</span>
<span class="s">"browser"</span><span class="p">:</span> <span class="s">"Firefox"</span>
<span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-42827bf0-b420-4799-bc21-88bd886cbe61"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-f4841e7a-ba7f-45c1-9896-73cf3d47a7a0"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -426,7 +426,7 @@ http://localhost:8000/queries.json
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-ab9e6fab-b122-459e-a814-523103cef3c5"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-2d7c9ac1-cbd1-4318-9b58-e64bfe00df7a"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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@@ -447,7 +447,7 @@ http://localhost:8000/queries.json
<span class="p">)</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-caa94668-3d00-41af-ac04-fc6a311aaf28"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-125f7c00-3457-4eca-9306-6199c4c6fd95"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/productranking/dase/index.html
----------------------------------------------------------------------
diff --git a/templates/productranking/dase/index.html b/templates/productranking/dase/index.html
index 14108c0..13f2fc0 100644
--- a/templates/productranking/dase/index.html
+++ b/templates/productranking/dase/index.html
@@ -496,7 +496,7 @@
<span class="n">numIterations</span><span class="k">:</span> <span class="kt">Int</span><span class="o">,</span>
<span class="n">lambda</span><span class="k">:</span> <span class="kt">Double</span><span class="o">,</span>
<span class="n">seed</span><span class="k">:</span> <span class="kt">Option</span><span class="o">[</span><span class="kt">Long</span><span class="o">])</span> <span class="k">extends</span> <span class="nc">Params</span>
-</pre></td></tr></tbody></table> </div> <p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different reuslts. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.trainImplicit()</code> then returns a <code>MatrixFactorizationModel</code> model which contains two RDDs: userFeatures and productFeatures. They correspond to the user X latent features matrix and item X latent features matrix, respectively. In this case, we will make use of both userFeatures and productFeatures matrix to rank the items for the user. These matrixes are stored as local model. You could see the <code>ALSModel</code> class is defined as:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter
gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different results. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.trainImplicit()</code> then returns a <code>MatrixFactorizationModel</code> model which contains two RDDs: userFeatures and productFeatures. They correspond to the user X latent features matrix and item X latent features matrix, respectively. In this case, we will make use of both userFeatures and productFeatures matrix to rank the items for the user. These matrixes are stored as local model. You could see the <code>ALSModel</code> class is defined as:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter
gl" style="text-align: right"><pre class="lineno">1
2
3
4
[16/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
Documentation based on apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Project: http://git-wip-us.apache.org/repos/asf/predictionio-site/repo
Commit: http://git-wip-us.apache.org/repos/asf/predictionio-site/commit/9fe018b6
Tree: http://git-wip-us.apache.org/repos/asf/predictionio-site/tree/9fe018b6
Diff: http://git-wip-us.apache.org/repos/asf/predictionio-site/diff/9fe018b6
Branch: refs/heads/asf-site
Commit: 9fe018b6afda7d1be84e8f6910346d6e9815cec1
Parents: 0b09b57
Author: jenkins <bu...@apache.org>
Authored: Thu Sep 20 19:08:23 2018 +0000
Committer: jenkins <bu...@apache.org>
Committed: Thu Sep 20 19:08:23 2018 +0000
----------------------------------------------------------------------
appintegration/index.html | 2 +-
community/contribute-documentation/index.html | 2 +-
community/contribute-webhook/index.html | 2 +-
customize/dase/index.html | 2 +-
datacollection/batchimport/index.html | 4 +-
datacollection/channel/index.html | 6 +-
datacollection/eventapi/index.html | 22 +-
datacollection/eventmodel/index.html | 10 +-
demo/tapster/index.html | 2 +-
demo/textclassification/index.html | 6 +-
deploy/monitoring/index.html | 2 +-
evaluation/index.html | 2 +-
evaluation/metricbuild/index.html | 2 +-
evaluation/paramtuning/index.html | 2 +-
gallery/template-gallery/index.html | 2 +-
install/install-vagrant/index.html | 4 +-
install/launch-aws/index.html | 2 +-
.../dimensionalityreduction/index.html | 2 +-
resources/faq/index.html | 2 +-
resources/glossary/index.html | 2 +-
resources/intellij/index.html | 2 +-
samples/tabs/index.html | 18 +-
sitemap.xml | 260 +++++++++----------
support/index.html | 2 +-
templates/classification/quickstart/index.html | 30 +--
templates/complementarypurchase/dase/index.html | 2 +-
.../complementarypurchase/quickstart/index.html | 24 +-
.../ecommercerecommendation/dase/index.html | 12 +-
.../quickstart/index.html | 64 ++---
.../javaecommercerecommendation/dase/index.html | 2 +-
.../quickstart/index.html | 60 ++---
templates/leadscoring/dase/index.html | 6 +-
templates/leadscoring/quickstart/index.html | 30 +--
templates/productranking/dase/index.html | 2 +-
templates/productranking/quickstart/index.html | 40 +--
.../recommendation/batch-evaluator/index.html | 2 +-
templates/recommendation/dase/index.html | 2 +-
templates/recommendation/evaluation/index.html | 2 +-
templates/recommendation/quickstart/index.html | 30 +--
templates/similarproduct/dase/index.html | 2 +-
.../multi-events-multi-algos/index.html | 4 +-
templates/similarproduct/quickstart/index.html | 40 +--
templates/vanilla/quickstart/index.html | 10 +-
43 files changed, 363 insertions(+), 363 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/appintegration/index.html
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diff --git a/appintegration/index.html b/appintegration/index.html
index 9db3c22..b872b2b 100644
--- a/appintegration/index.html
+++ b/appintegration/index.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html><html><head><title>App Integration Overview</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="App Integration Overview"/><link rel="canonical" href="https://predictionio.apache.org/appintegration/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/late
st/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="h
idden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>App Integration Overview</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="
col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="fin
al active" href="/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/
"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing D
ata</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosi
ng an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Me
trics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/
templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch P
ersistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3">
<a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-
3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutori
als</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><
span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software F
oundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Integrating with Your App</a><span class="spacer">></span></li><li><span class="last">App Integration Overview</span></li></ul></div><div id="page-title"><h1>App Integration Overview</h1></div></div><div id="table-of-content-wrap
per"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#sending-event-data">Sending Event Data</a> </li> <li> <a href="#sending-query">Sending Query</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/appintegration/index.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Integrating with Your App</a><span class="spacer">></span></li><li><span class="last">App Integration Overview</span></li></ul></div><div id="page-title"><h1>App Integration Overview</h1></div></div><div class="content"> <p>Apache PredictionIO is designed as a machine learning server that integrates with your applications on production environments.</p><p>A web or mobile app normally:</p> <ol> <li> Send event data to Apache PredictionIO's Event Server for model tra
ining</li> <li> Send dynamic queries to deployed engine(s) to retrieve predicted results</li> </ol> <p><img alt="Apache PredictionIO Single Engine Overview" src="/images/overview-singleengine-0a99200d.png"/></p><h2 id='sending-event-data' class='header-anchors'>Sending Event Data</h2><p>Apache PredictionIO's Event Server receives event data from your application. The data can be used by engines as training data to build preditive models.</p><p>Event Server listens to port 7070 by default. You can change the port with the <a href="/cli/#event-server-commands">--port arg</a> when you launch the Event Server.</p><p>For further information, please read:</p> <ul> <li><a href="/datacollection/">Event Server Overview</a></li> <li><a href="/datacollection/eventapi">Collecting Data with REST/SDKs</a></li> </ul> <h2 id='sending-query' class='header-anchors'>Sending Query</h2><p>After you deploy an engine as a web service, it will wait for queries from your application and return predicted
results in JSON format. An engine listens to port 8000 by default. If you want to deploy multiple engines, you can specific a different port for each of them.</p><p>For further information, please read:</p> <ul> <li><a href="/deploy/">Deploying an Engine as a Web Service</a></li> </ul> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div clas
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idden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>App Integration Overview</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="
col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="fin
al active" href="/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/
"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing D
ata</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosi
ng an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Me
trics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/
templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch P
ersistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3">
<a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-
3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutori
als</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><
span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software F
oundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Integrating with Your App</a><span class="spacer">></span></li><li><span class="last">App Integration Overview</span></li></ul></div><div id="page-title"><h1>App Integration Overview</h1></div></div><div id="table-of-content-wrap
per"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#sending-event-data">Sending Event Data</a> </li> <li> <a href="#sending-query">Sending Query</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/appintegration/index.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Integrating with Your App</a><span class="spacer">></span></li><li><span class="last">App Integration Overview</span></li></ul></div><div id="page-title"><h1>App Integration Overview</h1></div></div><div class="content"> <p>Apache PredictionIO is designed as a machine learning server that integrates with your applications on production environments.</p><p>A web or mobile app normally:</p> <ol> <li> Send event data to Apache PredictionIO's Event Server for model tra
ining</li> <li> Send dynamic queries to deployed engine(s) to retrieve predicted results</li> </ol> <p><img alt="Apache PredictionIO Single Engine Overview" src="/images/overview-singleengine-0a99200d.png"/></p><h2 id='sending-event-data' class='header-anchors'>Sending Event Data</h2><p>Apache PredictionIO's Event Server receives event data from your application. The data can be used by engines as training data to build predictive models.</p><p>Event Server listens to port 7070 by default. You can change the port with the <a href="/cli/#event-server-commands">--port arg</a> when you launch the Event Server.</p><p>For further information, please read:</p> <ul> <li><a href="/datacollection/">Event Server Overview</a></li> <li><a href="/datacollection/eventapi">Collecting Data with REST/SDKs</a></li> </ul> <h2 id='sending-query' class='header-anchors'>Sending Query</h2><p>After you deploy an engine as a web service, it will wait for queries from your application and return predicte
d results in JSON format. An engine listens to port 8000 by default. If you want to deploy multiple engines, you can specific a different port for each of them.</p><p>For further information, please read:</p> <ul> <li><a href="/deploy/">Deploying an Engine as a Web Service</a></li> </ul> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div cla
ss="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/contribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscribe@predictionio.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class="col-md-12"><div id="footer-logo-wrapper">
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/community/contribute-documentation/index.html
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<span class="gp">$ </span>bower install
</pre></td></tr></tbody></table> </div> <h2 id='starting-the-server' class='header-anchors'>Starting the Server</h2><p>Start the server with:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>bundle <span class="nb">exec </span>middleman server
</pre></td></tr></tbody></table> </div> <p>This will start the local web server at <a href="http://localhost:4567/">localhost:4567</a>.</p><h2 id='building-the-site' class='header-anchors'>Building the Site</h2><p>Build the site with:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>bundle <span class="nb">exec </span>middleman build
-</pre></td></tr></tbody></table> </div> <h2 id='styleguide' class='header-anchors'>Styleguide</h2><p>Please follow this styleguide for any documentation contributions.</p><h3 id='text' class='header-anchors'>Text</h3><p>View our <a href="/samples/">Sample Typography</a> page for all posible styles.</p><h3 id='headings' class='header-anchors'>Headings</h3><p>The main heading <code>h1</code> is derived from the title data attribute:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <h2 id='styleguide' class='header-anchors'>Styleguide</h2><p>Please follow this styleguide for any documentation contributions.</p><h3 id='text' class='header-anchors'>Text</h3><p>View our <a href="/samples/">Sample Typography</a> page for all possible styles.</p><h3 id='headings' class='header-anchors'>Headings</h3><p>The main heading <code>h1</code> is derived from the title data attribute:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td><td class="code"><pre>---
title: Page Title
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/community/contribute-webhook/index.html
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@@ -212,7 +212,7 @@
<span class="o">}</span>
</pre></td></tr></tbody></table> </div> <p>You can find the complete example in <a href="https://github.com/apache/predictionio/blob/develop/data/src/main/scala/org/apache/predictionio/data/webhooks/examplejson/ExampleJsonConnector.scala">the GitHub repo</a> and how to write <a href="https://github.com/apache/predictionio/blob/develop/data/src/test/scala/org/apache/predictionio/data/webhooks/examplejson/ExampleJsonConnectorSpec.scala">tests for the connector</a>.</p><p>Please put the connector code in a separate directory for each site. For example, code for segmentio connector should be in</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>data/src/main/scala/org.apache.predictionio/data/webhooks/segmentio/
</pre></td></tr></tbody></table> </div> <p>and tests should be in</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>data/src/test/scala/org.apache.predictionio/data/webhooks/segmentio/
-</pre></td></tr></tbody></table> </div> <p><strong>For form-submission data</strong>, you can find the comple example <a href="https://github.com/apache/predictionio/blob/develop/data/src/main/scala/org/apache/predictionio/data/webhooks/exampleform/ExampleFormConnector.scala">the GitHub repo</a> and how to write <a href="https://github.com/apache/predictionio/blob/develop/data/src/test/scala/org/apache/predictionio/data/webhooks/exampleform/ExampleFormConnectorSpec.scala">tests for the connector</a>.</p><h2 id='2.-integrate-the-connector-into-event-server' class='header-anchors'>2. Integrate the Connector into Event Server</h2><p>Once we have the connector implemented, we can add this to the EventServer so we can collect real-time data.</p><p>Add the connector to <a href="https://github.com/apache/predictionio/blob/develop/data/src/main/scala/org/apache/predictionio/data/api/WebhooksConnectors.scala"><code>WebhooksConnectors</code> object</a>:</p><div class="highlight scala"><table
style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><strong>For form-submission data</strong>, you can find the complete example <a href="https://github.com/apache/predictionio/blob/develop/data/src/main/scala/org/apache/predictionio/data/webhooks/exampleform/ExampleFormConnector.scala">the GitHub repo</a> and how to write <a href="https://github.com/apache/predictionio/blob/develop/data/src/test/scala/org/apache/predictionio/data/webhooks/exampleform/ExampleFormConnectorSpec.scala">tests for the connector</a>.</p><h2 id='2.-integrate-the-connector-into-event-server' class='header-anchors'>2. Integrate the Connector into Event Server</h2><p>Once we have the connector implemented, we can add this to the EventServer so we can collect real-time data.</p><p>Add the connector to <a href="https://github.com/apache/predictionio/blob/develop/data/src/main/scala/org/apache/predictionio/data/api/WebhooksConnectors.scala"><code>WebhooksConnectors</code> object</a>:</p><div class="highlight scala"><tabl
e style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/customize/dase/index.html
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-<!DOCTYPE html><html><head><title>Implementing DASE</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Implementing DASE"/><link rel="canonical" href="https://predictionio.apache.org/customize/dase/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?
config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden-md hidde
n-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Implement DASE</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-m
ain"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegratio
n/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span
></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final active" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li cl
ass="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></
a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li
class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation
/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</sp
an></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/
templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href
="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li cl
ass="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects<
/span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul>
<li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Customizing an Engine</a><span class="spacer">></span></li><li><span class="last">Implement DASE</span></li></ul></div><div id="page-title"><h1>Implementing DASE</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of
-contents"><ul> <li> <a href="#datasource">DataSource</a> <ul> <li> <a href="#readtraining">readTraining()</a> </li> <li> <a href="#using-peventstore-engine-api">Using PEventStore Engine API</a> </li> </ul> </li> <li> <a href="#preparator">Preparator</a> <ul> <li> <a href="#prepare">prepare()</a> </li> </ul> </li> <li> <a href="#algorithm">Algorithm</a> <ul> <li> <a href="#train">train()</a> </li> <li> <a href="#predict">predict()</a> </li> <li> <a href="#p2lalgorithm">P2LAlgorithm</a> </li> <li> <a href="#palgorithm">PAlgorithm</a> </li> <li> <a href="#using-leventstore-engine-api-in-predict">using LEventStore Engine API in predict()</a> </li> </ul> </li> <li> <a href="#serving">Serving</a> <ul> <li> <a href="#serve">serve()</a> </li> </ul> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/customize/dase.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="conte
nt-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Customizing an Engine</a><span class="spacer">></span></li><li><span class="last">Implement DASE</span></li></ul></div><div id="page-title"><h1>Implementing DASE</h1></div></div><div class="content"> <p>This section gives you an overview of DASE components and how to implement them. You will find links to some engine templates for more concrete examples.</p><h1 id='datasource' class='header-anchors'>DataSource</h1><p>DataSource reads and selects useful data from the Event Store (data store of the Event Server) and returns TrainingData.</p><h2 id='readtraining()' class='header-anchors'>readTraining()</h2><p>You need to implment readTraining() of <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.controller.PDataSource">PDataSource</a>, where you can use the <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.data.store.PEventStor
e$">PEventStore Engine API</a> to read the events and create the TrainingData based on the events.</p><p>The following code example reads user "view" and "buy" item events, filters specific type of events for future processing and returns TrainingData accordingly.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+<!DOCTYPE html><html><head><title>Implementing DASE</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Implementing DASE"/><link rel="canonical" href="https://predictionio.apache.org/customize/dase/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?
config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden-md hidde
n-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Implement DASE</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-m
ain"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegratio
n/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span
></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final active" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li cl
ass="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></
a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li
class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation
/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</sp
an></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/
templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href
="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li cl
ass="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects<
/span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul>
<li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Customizing an Engine</a><span class="spacer">></span></li><li><span class="last">Implement DASE</span></li></ul></div><div id="page-title"><h1>Implementing DASE</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of
-contents"><ul> <li> <a href="#datasource">DataSource</a> <ul> <li> <a href="#readtraining">readTraining()</a> </li> <li> <a href="#using-peventstore-engine-api">Using PEventStore Engine API</a> </li> </ul> </li> <li> <a href="#preparator">Preparator</a> <ul> <li> <a href="#prepare">prepare()</a> </li> </ul> </li> <li> <a href="#algorithm">Algorithm</a> <ul> <li> <a href="#train">train()</a> </li> <li> <a href="#predict">predict()</a> </li> <li> <a href="#p2lalgorithm">P2LAlgorithm</a> </li> <li> <a href="#palgorithm">PAlgorithm</a> </li> <li> <a href="#using-leventstore-engine-api-in-predict">using LEventStore Engine API in predict()</a> </li> </ul> </li> <li> <a href="#serving">Serving</a> <ul> <li> <a href="#serve">serve()</a> </li> </ul> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/customize/dase.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="conte
nt-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Customizing an Engine</a><span class="spacer">></span></li><li><span class="last">Implement DASE</span></li></ul></div><div id="page-title"><h1>Implementing DASE</h1></div></div><div class="content"> <p>This section gives you an overview of DASE components and how to implement them. You will find links to some engine templates for more concrete examples.</p><h1 id='datasource' class='header-anchors'>DataSource</h1><p>DataSource reads and selects useful data from the Event Store (data store of the Event Server) and returns TrainingData.</p><h2 id='readtraining()' class='header-anchors'>readTraining()</h2><p>You need to implement readTraining() of <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.controller.PDataSource">PDataSource</a>, where you can use the <a href="https://predictionio.apache.org/api/current/#org.apache.predictionio.data.store.PEventSto
re$">PEventStore Engine API</a> to read the events and create the TrainingData based on the events.</p><p>The following code example reads user "view" and "buy" item events, filters specific type of events for future processing and returns TrainingData accordingly.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
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-<!DOCTYPE html><html><head><title>Tuning and Evaluation</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Tuning and Evaluation"/><link rel="canonical" href="https://predictionio.apache.org/evaluation/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax
.js?config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid" id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden-md h
idden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Overview</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-mai
n"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/
"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span><
/a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="leve
l-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li
class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final active" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li c
lass="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/e
valuation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span
></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/te
mplates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="
/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li clas
s="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</s
pan></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><l
i class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Tuning and Evaluation</a><span class="spacer">></span></li><li><span class="last">Overview</span></li></ul></div><div id="page-title"><h1>Tuning and Evaluation</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.
com/apache/predictionio/tree/livedoc/docs/manual/source/evaluation/index.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Tuning and Evaluation</a><span class="spacer">></span></li><li><span class="last">Overview</span></li></ul></div><div id="page-title"><h1>Tuning and Evaluation</h1></div></div><div class="content"> <p>PredictionIO's evaluation module allows you to streamline the process of testing lots of knobs in engine parameters and deploy the best one out of it using statisically sound cross-validation methods.</p><p>There are two key components:</p><h3 id='engine' class='header-anchors'>Engine</h3><p>It is our evaluation target. During evaluation, in addition to the <em>train</em> and <em>deploy</em> mode we describe in earlier sections, the engine also generates a list of testing data points. These data points are a
sequence of <em>Query</em> and <em>Actual Result</em> tuples. <em>Queries</em> are sent to the engine and the engine responds with a <em>Predicted Result</em>, in the same way as how the engine serves a query.</p><h3 id='evaluator' class='header-anchors'>Evaluator</h3><p>The evaluator joins the sequence of <em>Query</em>, <em>Predicted Result</em>, and <em>Actual Result</em> together and evaluates the quality of the engine. PredictionIO enables you to implement any metric with just a few lines of code.</p><p><img alt="PredictionIO Evaluation Overview" src="/images/engine-evaluation-4ab1bfeb.png"/></p><p>We will discuss various aspects of evaluation with PredictionIO.</p> <ul> <li><a href="/evaluation/paramtuning/">Hyperparameter Tuning</a> - it is an end-to-end example of using PredictionIO evaluation module to select and deploy the best engine parameter.</li> <li><a href="/evaluation/evaluationdashboard/">Evaluation Dashboard</a> - it is the dashboard where you can see a detailed b
reakdown of all previous evaluations.</li> <li><a href="/evaluation/metricchoose/">Choosing Evaluation Metrics</a> - we cover some basic machine learning metrics</li> <li><a href="/evaluation/metricbuild/">Bulding Evaluation Metrics</a> - we illustrate how to implement a custom metric with as few as one line of code (plus some boilerplates).</li> </ul> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li>
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+<!DOCTYPE html><html><head><title>Tuning and Evaluation</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Tuning and Evaluation"/><link rel="canonical" href="https://predictionio.apache.org/evaluation/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax
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idden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Overview</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-mai
n"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/
"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span><
/a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="leve
l-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li
class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final active" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li c
lass="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/e
valuation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span
></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/te
mplates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="
/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li clas
s="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</s
pan></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><l
i class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Tuning and Evaluation</a><span class="spacer">></span></li><li><span class="last">Overview</span></li></ul></div><div id="page-title"><h1>Tuning and Evaluation</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.
com/apache/predictionio/tree/livedoc/docs/manual/source/evaluation/index.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Tuning and Evaluation</a><span class="spacer">></span></li><li><span class="last">Overview</span></li></ul></div><div id="page-title"><h1>Tuning and Evaluation</h1></div></div><div class="content"> <p>PredictionIO's evaluation module allows you to streamline the process of testing lots of knobs in engine parameters and deploy the best one out of it using statistically sound cross-validation methods.</p><p>There are two key components:</p><h3 id='engine' class='header-anchors'>Engine</h3><p>It is our evaluation target. During evaluation, in addition to the <em>train</em> and <em>deploy</em> mode we describe in earlier sections, the engine also generates a list of testing data points. These data points are a
sequence of <em>Query</em> and <em>Actual Result</em> tuples. <em>Queries</em> are sent to the engine and the engine responds with a <em>Predicted Result</em>, in the same way as how the engine serves a query.</p><h3 id='evaluator' class='header-anchors'>Evaluator</h3><p>The evaluator joins the sequence of <em>Query</em>, <em>Predicted Result</em>, and <em>Actual Result</em> together and evaluates the quality of the engine. PredictionIO enables you to implement any metric with just a few lines of code.</p><p><img alt="PredictionIO Evaluation Overview" src="/images/engine-evaluation-4ab1bfeb.png"/></p><p>We will discuss various aspects of evaluation with PredictionIO.</p> <ul> <li><a href="/evaluation/paramtuning/">Hyperparameter Tuning</a> - it is an end-to-end example of using PredictionIO evaluation module to select and deploy the best engine parameter.</li> <li><a href="/evaluation/evaluationdashboard/">Evaluation Dashboard</a> - it is the dashboard where you can see a detailed
breakdown of all previous evaluations.</li> <li><a href="/evaluation/metricchoose/">Choosing Evaluation Metrics</a> - we cover some basic machine learning metrics</li> <li><a href="/evaluation/metricbuild/">Building Evaluation Metrics</a> - we illustrate how to implement a custom metric with as few as one line of code (plus some boilerplates).</li> </ul> </div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></l
i></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/contribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscribe@predictionio.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></div></div></div><div id="footer-bottom"><div class="container"><d
iv class="row"><div class="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images/logos/logo-white-d1e9c6e6.png"/><span>®</span></div><div id="social-icons-wrapper"><a class="github-button" href="https://github.com/apache/predictionio" data-icon="octicon-star" data-show-count="true" aria-label="Star apache/predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/predictionio/fork" data-icon="octicon-repo-forked" data-show-count="true" aria-label="Fork apache/predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js"></script><a href="https://twitter.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="https://www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5c57939c.png"/></a> </div></div></div></div></div></footer></div><script>(function(
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http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/evaluation/metricbuild/index.html
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diff --git a/evaluation/metricbuild/index.html b/evaluation/metricbuild/index.html
index 01ca251..48e6ada 100644
--- a/evaluation/metricbuild/index.html
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@@ -16,7 +16,7 @@
...
<span class="gp">$ </span>pio <span class="nb">eval </span>org.example.classification.AccuracyEvaluation org.example.classification.EngineParamsList
...
-</pre></td></tr></tbody></table> </div> <p>(See MyClassification/src/main/scala/<strong><em>Evaluation.scala</em></strong> for full usage.)</p><h2 id='example-2:-precision-metric' class='header-anchors'>Example 2: Precision Metric</h2><p>Precision is a metric for binary classifier capturing the portion of correction prediction among all <em>positive</em> predictions. We don't care about the cases where the QPA-tuple gives a negative prediction. (Recall that a binary classifier only provide two output values: <em>positive</em> and <em>negative</em>.) The following table illustrates all four cases:</p> <table><thead> <tr> <th style="text-align: center">PredictedResult</th> <th style="text-align: center">ActualResult</th> <th style="text-align: center">Value</th> </tr> </thead><tbody> <tr> <td style="text-align: center">Positive</td> <td style="text-align: center">Positive</td> <td style="text-align: center">1.0</td> </tr> <tr> <td style="text-align: center">Positive</td> <td style
="text-align: center">Negative</td> <td style="text-align: center">0.0</td> </tr> <tr> <td style="text-align: center">Negative</td> <td style="text-align: center">Positive</td> <td style="text-align: center">Don't care</td> </tr> <tr> <td style="text-align: center">Negative</td> <td style="text-align: center">Negative</td> <td style="text-align: center">Don't care</td> </tr> </tbody></table> <p>Calculating the precision metric is a slightly more involved procedure than calculating the accuracy metric as we have to specially handle the <em>don't care</em> negative cases.</p><p>PredictionIO provides a helper class <code>OptionAverageMetric</code> allows user to specify <em>don't care</em> values as <code>None</code>. It only aggregates the non-None values. Lines 3 to 4 is the method signature of <code>calcuate</code> method. The key difference is that the return value is a <code>Option[Double]</code>, in contrast to <code>Double</code> for <code>AverageMetric</code>. T
his class only computes the average of <code>Some(.)</code> results. Lines 5 to 13 are the actual logic. The first <code>if</code> factors out the positively predicted case, and the computation is similiar to the accuracy metric. The negatively predicted case are the <em>don't cares</em>, which we return <code>None</code>.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>(See MyClassification/src/main/scala/<strong><em>Evaluation.scala</em></strong> for full usage.)</p><h2 id='example-2:-precision-metric' class='header-anchors'>Example 2: Precision Metric</h2><p>Precision is a metric for binary classifier capturing the portion of correction prediction among all <em>positive</em> predictions. We don't care about the cases where the QPA-tuple gives a negative prediction. (Recall that a binary classifier only provide two output values: <em>positive</em> and <em>negative</em>.) The following table illustrates all four cases:</p> <table><thead> <tr> <th style="text-align: center">PredictedResult</th> <th style="text-align: center">ActualResult</th> <th style="text-align: center">Value</th> </tr> </thead><tbody> <tr> <td style="text-align: center">Positive</td> <td style="text-align: center">Positive</td> <td style="text-align: center">1.0</td> </tr> <tr> <td style="text-align: center">Positive</td> <td style
="text-align: center">Negative</td> <td style="text-align: center">0.0</td> </tr> <tr> <td style="text-align: center">Negative</td> <td style="text-align: center">Positive</td> <td style="text-align: center">Don't care</td> </tr> <tr> <td style="text-align: center">Negative</td> <td style="text-align: center">Negative</td> <td style="text-align: center">Don't care</td> </tr> </tbody></table> <p>Calculating the precision metric is a slightly more involved procedure than calculating the accuracy metric as we have to specially handle the <em>don't care</em> negative cases.</p><p>PredictionIO provides a helper class <code>OptionAverageMetric</code> allows user to specify <em>don't care</em> values as <code>None</code>. It only aggregates the non-None values. Lines 3 to 4 is the method signature of <code>calculate</code> method. The key difference is that the return value is a <code>Option[Double]</code>, in contrast to <code>Double</code> for <code>AverageMetric</code>.
This class only computes the average of <code>Some(.)</code> results. Lines 5 to 13 are the actual logic. The first <code>if</code> factors out the positively predicted case, and the computation is similar to the accuracy metric. The negatively predicted case are the <em>don't cares</em>, which we return <code>None</code>.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/evaluation/paramtuning/index.html
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diff --git a/evaluation/paramtuning/index.html b/evaluation/paramtuning/index.html
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@@ -240,7 +240,7 @@ The best variant params can be found <span class="k">in </span>best.json
<span class="o">}</span>
<span class="o">}</span>
<span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p>The <code>readEval</code> method returns a sequence of (<code>TrainingData</code>, <code>EvaluationInfo</code>, <code>RDD[(Query, ActualResult)]</code>. <code>TrainingData</code> is the same class we use for deploy, <code>RDD[(Query, ActualResult)]</code> is the validation set, <code>EvaluationInfo</code> can be used to hold some global evaluation data ; it is not used in the current example.</p><p>Lines 11 to 41 is the logic of reading and transforming data from the datastore; it is equvialent to the existing <code>readTraining</code> method. After line 41, the variable <code>labeledPoints</code> contains the complete dataset with which we use to generate the (training, validation) sequence.</p><p>Lines 43 to 57 is the <em>k-fold</em> logic. Line 45 gives each data point a unique id, and we decide whether the point belongs to the training or validation set depends on the <em>mod</em> of the id (lines 48 to 49). For each point in the valida
tion set, we construct the <code>Query</code> and <code>ActualResult</code> (line 55) which is used validate the engine.</p><h2 id='evaluation-metrics' class='header-anchors'>Evaluation Metrics</h2><p>We define a <code>Metric</code> which gives a <em>score</em> to engine params. The higher the score, the better the engine params are. In this template, we use accuracy score which measures the portion of correct prediction among all data points.</p><p>In MyClassification/src/main/scala/<strong>Evaluation.scala</strong>, the class <code>Accuracy</code> implements the <em>accuracy</em> score. It extends a base helper class <code>AverageMetric</code> which calculates the average score overall <em>(Query, PredictionResult, ActualResult)</em> tuple.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>The <code>readEval</code> method returns a sequence of (<code>TrainingData</code>, <code>EvaluationInfo</code>, <code>RDD[(Query, ActualResult)]</code>. <code>TrainingData</code> is the same class we use for deploy, <code>RDD[(Query, ActualResult)]</code> is the validation set, <code>EvaluationInfo</code> can be used to hold some global evaluation data ; it is not used in the current example.</p><p>Lines 11 to 41 is the logic of reading and transforming data from the datastore; it is equivalent to the existing <code>readTraining</code> method. After line 41, the variable <code>labeledPoints</code> contains the complete dataset with which we use to generate the (training, validation) sequence.</p><p>Lines 43 to 57 is the <em>k-fold</em> logic. Line 45 gives each data point a unique id, and we decide whether the point belongs to the training or validation set depends on the <em>mod</em> of the id (lines 48 to 49). For each point in the valida
tion set, we construct the <code>Query</code> and <code>ActualResult</code> (line 55) which is used validate the engine.</p><h2 id='evaluation-metrics' class='header-anchors'>Evaluation Metrics</h2><p>We define a <code>Metric</code> which gives a <em>score</em> to engine params. The higher the score, the better the engine params are. In this template, we use accuracy score which measures the portion of correct prediction among all data points.</p><p>In MyClassification/src/main/scala/<strong>Evaluation.scala</strong>, the class <code>Accuracy</code> implements the <em>accuracy</em> score. It extends a base helper class <code>AverageMetric</code> which calculates the average score overall <em>(Query, PredictionResult, ActualResult)</em> tuple.</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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[10/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/install/install-vagrant/index.html
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diff --git a/install/install-vagrant/index.html b/install/install-vagrant/index.html
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@@ -5,7 +5,7 @@
<span class="gp">$ </span>git checkout master
</pre></td></tr></tbody></table> </div> <p>Inside the directory <code>PredictionIO-Vagrant/</code>, you will find a file named <code>Vagrantfile</code> which is the configuration file used by Vagrant to setup the VM. You may modify this file if you want to change the VM configuration.</p><p>For example, if you want to change the memory of the VM, you can locate the following line in the <code>Vagrantfile</code> and change the value passed to the <code>memory</code> parameter (default is 2048MB):</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre> v.customize <span class="o">[</span><span class="s2">"modifyvm"</span>, :id, <span class="s2">"--cpuexecutioncap"</span>, <span class="s2">"90"</span>, <span class="s2">"--memory"</span>, <span class="s2">"2048"</span><span class="o">]</span>
</pre></td></tr></tbody></table> </div> <p>In the directory <code>PredictionIO-Vagrant/</code>, bring up PredictionIO VM by running:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>vagrant up
-</pre></td></tr></tbody></table> </div> <div class="alert-message info"><p>When you run <code>vagrant up</code> for the first time, it will download the base box ubuntu/trusty64 if you don't have it. Then it will also install all necessary libraries and setup PredictionIO in the virtual machine.</p></div><p>When it finishes successfully, you should see somthing like the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <div class="alert-message info"><p>When you run <code>vagrant up</code> for the first time, it will download the base box ubuntu/trusty64 if you don't have it. Then it will also install all necessary libraries and setup PredictionIO in the virtual machine.</p></div><p>When it finishes successfully, you should see something like the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -29,7 +29,7 @@
</pre></td></tr></tbody></table> </div> <p>That's it! Now you have a PredictionIO VM running!</p><p>Please see the following notes regarding how to use PredictionIO VM with vagrant.</p><h2 id='using-the-predictionio-vm' class='header-anchors'>Using the PredictionIO VM</h2><h3 id='login-to-the-vm' class='header-anchors'>Login to the VM</h3><p>You could ssh to the VM by running the following from your host machine in the same directory where you run <code>vagrant up</code> (i.e. PredictionIO-Vagrant/)</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>vagrant ssh
</pre></td></tr></tbody></table> </div> <p>Then your console prompt becomes something like the following, which means you have logged into the VM:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>vagrant@vagrant-ubuntu-trusty-64:~<span class="err">$</span>
</pre></td></tr></tbody></table> </div> <p>One you've logged into the VM, you can proceed to <a href="/start/download">Choosing an Engine Template</a> or continue the QuickStart of the Engine template you have chosen.</p><h3 id='shutdown-and-bring-up-predictionio-vm-again' class='header-anchors'>Shutdown and bring up PredictionIO VM again</h3><p>When you are not using PredictionIO VM, you should shut down VM properly, by running the following <strong>in the host machine</strong> (not inside VM):</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>vagrant halt
-</pre></td></tr></tbody></table> </div> <div class="alert-message warning"><p>If you didn't shut down VM properly or you ran <code>vagrant suspend</code>, the VM may go to suspend state. HBase may not be running propoerly next time when you run <code>vagrant up.</code> In this case, you can always run <code>vagrant halt</code> to do a clean shutdown first before run <code>vagrant up</code> again.</p></div><p>Then you can run <code>vagrant up</code> again later to bring up the PredicitonIO VM again.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>vagrant up
+</pre></td></tr></tbody></table> </div> <div class="alert-message warning"><p>If you didn't shut down VM properly or you ran <code>vagrant suspend</code>, the VM may go to suspend state. HBase may not be running properly next time when you run <code>vagrant up.</code> In this case, you can always run <code>vagrant halt</code> to do a clean shutdown first before run <code>vagrant up</code> again.</p></div><p>Then you can run <code>vagrant up</code> again later to bring up the PredicitonIO VM again.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>vagrant up
</pre></td></tr></tbody></table> </div> <p>When it's ready, you should see the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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-<!DOCTYPE html><html><head><title>Launching PredictionIO on AWS</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Launching PredictionIO on AWS"/><link rel="canonical" href="https://predictionio.apache.org/install/launch-aws/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.or
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nu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="lev
el-2"><a class="final" href="/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy
/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and
Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#">
<span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing E
valuation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="fi
nal" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><
span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li clas
s="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li c
lass="level-3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span
>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/
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e Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="page-title"><h1>Launching PredictionIO on AWS</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#prerequisites">Prerequisites</a> </li> <li> <a href="#access-aws-marketplace">Access AWS Marketplace</a> </li> <l
i> <a href="#using-1-click-launch">Using 1-Click Launch</a> </li> <li> <a href="#setting-security-group">Setting Security Group</a> </li> <li> <a href="#start-using-predictionio">Start Using PredictionIO</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/install/launch-aws.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="page-title"><h1>Launching PredictionIO on AWS</h1></div></div><div class="content"> <p>Deploying PredictionIO on Amazon Web Services is extremely easy thanks to AWS Marketplace. As long as you have access to AWS, you can launch a ready-to-use PredictionIO Amazon EC2 instance with a single click.</p><h2 id='prerequisites' class='header-anchors'>Prerequisites</h2> <ul> <li>Amazon Web Services account</li> <li>Amazon EC2</li> </ul> <h2 id='access-aws-marketplace' class='header-anchors'>Access AWS M
arketplace</h2><p>Visit <a href="https://aws.amazon.com/marketplace/pp/B00RPIFSYS/">PredictionIO product's page on AWS Marketplace</a> and sign in with your AWS account.</p><h2 id='using-1-click-launch' class='header-anchors'>Using 1-Click Launch</h2><p>You should see the following screen after you have logged in.</p><p><img alt="alt text" src="/images/awsm-product-1be37f9d.png"/></p><p>Under the big yellow "Continue" botton, select the region where you want to launch the PredictionIO EC2 instance, then click "Continue".</p><p><img alt="alt text" src="/images/awsm-1click-9d9ac1c4.png"/></p><p>Review your instance's settings before launching. For quick prototyping work, we recommend using the "memory optimized" instances for the cheapest memory configurations at least the "Memory Optimized R3 (r3.large)" or for larger datasets the "(r3.xlarge)".</p><h2 id='setting-security-group' class='header-anchors'>Setting Security Group</
h2><p>The default security group, marked by "AutogenByAWSMP", has the following ports opened to public:</p> <ul> <li>22 (SSH)</li> <li>7070 (PredictionIO Event Server)</li> <li>8000 (PredictionIO Server)</li> <li>8080 (Spark Master)</li> <li>9200 (Elasticsearch)</li> </ul> <h2 id='start-using-predictionio' class='header-anchors'>Start Using PredictionIO</h2><p>It may take a few minutes after the EC2 instance has launched for all PredictionIO components to become ready. When they are ready, you may connect to your instance, see <a href="http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-connect-to-instance-linux.html">AWS documentation</a> for more details.</p><p>Once you connect to your instance, you can find PredictionIO at <code>/opt/PredictionIO</code> and the binary command path is <code>/opt/PredictionIO/bin</code>.</p> <p>You can proceed to <a href="/start/download">Choosing an Engine Template</a>, or continue the QuickStart guide of the Engine template if you ha
ve already chosen one.</p> <div class="alert-message note"><p>The AWS instance will have all PredictionIO components automatically started for you, so you could safely skip the <strong>pio-start-all</strong> command as described in QuickStart.</p></div></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Cont
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nu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="lev
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Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#">
<span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing E
valuation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="fi
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span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="level-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li clas
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e Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="page-title"><h1>Launching PredictionIO on AWS</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#prerequisites">Prerequisites</a> </li> <li> <a href="#access-aws-marketplace">Access AWS Marketplace</a> </li> <l
i> <a href="#using-1-click-launch">Using 1-Click Launch</a> </li> <li> <a href="#setting-security-group">Setting Security Group</a> </li> <li> <a href="#start-using-predictionio">Start Using PredictionIO</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/install/launch-aws.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="page-title"><h1>Launching PredictionIO on AWS</h1></div></div><div class="content"> <p>Deploying PredictionIO on Amazon Web Services is extremely easy thanks to AWS Marketplace. As long as you have access to AWS, you can launch a ready-to-use PredictionIO Amazon EC2 instance with a single click.</p><h2 id='prerequisites' class='header-anchors'>Prerequisites</h2> <ul> <li>Amazon Web Services account</li> <li>Amazon EC2</li> </ul> <h2 id='access-aws-marketplace' class='header-anchors'>Access AWS M
arketplace</h2><p>Visit <a href="https://aws.amazon.com/marketplace/pp/B00RPIFSYS/">PredictionIO product's page on AWS Marketplace</a> and sign in with your AWS account.</p><h2 id='using-1-click-launch' class='header-anchors'>Using 1-Click Launch</h2><p>You should see the following screen after you have logged in.</p><p><img alt="alt text" src="/images/awsm-product-1be37f9d.png"/></p><p>Under the big yellow "Continue" button, select the region where you want to launch the PredictionIO EC2 instance, then click "Continue".</p><p><img alt="alt text" src="/images/awsm-1click-9d9ac1c4.png"/></p><p>Review your instance's settings before launching. For quick prototyping work, we recommend using the "memory optimized" instances for the cheapest memory configurations at least the "Memory Optimized R3 (r3.large)" or for larger datasets the "(r3.xlarge)".</p><h2 id='setting-security-group' class='header-anchors'>Setting Security Group</
h2><p>The default security group, marked by "AutogenByAWSMP", has the following ports opened to public:</p> <ul> <li>22 (SSH)</li> <li>7070 (PredictionIO Event Server)</li> <li>8000 (PredictionIO Server)</li> <li>8080 (Spark Master)</li> <li>9200 (Elasticsearch)</li> </ul> <h2 id='start-using-predictionio' class='header-anchors'>Start Using PredictionIO</h2><p>It may take a few minutes after the EC2 instance has launched for all PredictionIO components to become ready. When they are ready, you may connect to your instance, see <a href="http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-connect-to-instance-linux.html">AWS documentation</a> for more details.</p><p>Once you connect to your instance, you can find PredictionIO at <code>/opt/PredictionIO</code> and the binary command path is <code>/opt/PredictionIO/bin</code>.</p> <p>You can proceed to <a href="/start/download">Choosing an Engine Template</a>, or continue the QuickStart guide of the Engine template if you ha
ve already chosen one.</p> <div class="alert-message note"><p>The AWS instance will have all PredictionIO components automatically started for you, so you could safely skip the <strong>pio-start-all</strong> command as described in QuickStart.</p></div></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscribe@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Cont
ribute</h4><ul><li><a href="//predictionio.apache.org/community/contribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscribe@predictionio.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respective owners.</p></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images
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@@ -126,7 +126,7 @@ Import digit recognition data.
<span class="o">[</span>INFO] <span class="o">[</span>Remoting] Remoting started; listening on addresses :[akka.tcp://sparkDriver@10.0.0.30:65523]
<span class="o">[</span>INFO] <span class="o">[</span>FileToEvents<span class="nv">$]</span> Events are imported.
<span class="o">[</span>INFO] <span class="o">[</span>FileToEvents<span class="nv">$]</span> Done.
-</pre></td></tr></tbody></table> </div> <p>The data is now in the event server.</p><h2 id='principal-component-analysis' class='header-anchors'>Principal Component Analysis</h2><p>PCA begins with the data matrix \(\bf X\) whose rows are feature vectors corresponding to a set of observations. In our case, each row represents the pixel information of the corresponding hand-written numerc digit image. The model then computes the <a href="https://en.wikipedia.org/wiki/Covariance_matrix">covariance matrix</a> estimated from the data matrix \(\bf X\). The algorithm then takes the covariance matrix and computes the <a href="https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors">eigenvectors</a> that correspond to its \(k\) (some integer) largest <a href="https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors">eigenvalues</a>. The data matrix is then mapped to the space generated by these \(k\) vectors, which are called the \(k\) <strong>ptincipal components</strong> of \(\bf X\).
What this is doing is mapping the data observations into a lower-dimensional space that explains the largest variability in the data (contains the most information). The algorithm for implementing PCA is listed as follows:</p><h3 id='pca-algorithm' class='header-anchors'>PCA Algorithm</h3><p><strong>Input:</strong> \(N \times p\) data matrix \(\bf X\); \(k \leq p\), the number of desired features.</p><p><strong>1.</strong> For each column in the data matrix: compute the average of all the entries contained in the column, and then subtract this average from each of the column entries.</p><p><strong>2.</strong> Compute the \(k\) eigenvectors corresponding to the \(k\) largest eigenvalues of the matrix obtained in the first step.</p><p><strong>Output:</strong> \(p \times k\) matrix \(P\) whose \(k\) rows are the eigenvectors computed in the second step.</p><p>Now, to transform a \(p \times 1\) feature vector \(\bf {x}\), you multiply by the matrix \(P^T\). Now, the vector \(P^T {\bf x}
\) is a feature vector with only \(k\) components, which has accomplished the desired dimensionality reduction. Also, as a side note, the first step in the algorithm reduces the covariance matrix computation to that of only performing <a href="https://spark.apache.org/docs/1.3.1/mllib-dimensionality-reduction.html#singular-value-decomposition-svd">SVD</a> on matrix obtained from step 1, which is numerically preferred, and necessary to extract the required eigenvectors.</p><h2 id='modifying-the-engine-template' class='header-anchors'>Modifying the Engine Template</h2><p>We will be modifying the engine template by first re-defining our <code>Query</code> class located in the <code>Engine.scala</code> script as follows:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>The data is now in the event server.</p><h2 id='principal-component-analysis' class='header-anchors'>Principal Component Analysis</h2><p>PCA begins with the data matrix \(\bf X\) whose rows are feature vectors corresponding to a set of observations. In our case, each row represents the pixel information of the corresponding hand-written numeric digit image. The model then computes the <a href="https://en.wikipedia.org/wiki/Covariance_matrix">covariance matrix</a> estimated from the data matrix \(\bf X\). The algorithm then takes the covariance matrix and computes the <a href="https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors">eigenvectors</a> that correspond to its \(k\) (some integer) largest <a href="https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors">eigenvalues</a>. The data matrix is then mapped to the space generated by these \(k\) vectors, which are called the \(k\) <strong>principal components</strong> of \(\bf X\).
What this is doing is mapping the data observations into a lower-dimensional space that explains the largest variability in the data (contains the most information). The algorithm for implementing PCA is listed as follows:</p><h3 id='pca-algorithm' class='header-anchors'>PCA Algorithm</h3><p><strong>Input:</strong> \(N \times p\) data matrix \(\bf X\); \(k \leq p\), the number of desired features.</p><p><strong>1.</strong> For each column in the data matrix: compute the average of all the entries contained in the column, and then subtract this average from each of the column entries.</p><p><strong>2.</strong> Compute the \(k\) eigenvectors corresponding to the \(k\) largest eigenvalues of the matrix obtained in the first step.</p><p><strong>Output:</strong> \(p \times k\) matrix \(P\) whose \(k\) rows are the eigenvectors computed in the second step.</p><p>Now, to transform a \(p \times 1\) feature vector \(\bf {x}\), you multiply by the matrix \(P^T\). Now, the vector \(P^T {\bf x
}\) is a feature vector with only \(k\) components, which has accomplished the desired dimensionality reduction. Also, as a side note, the first step in the algorithm reduces the covariance matrix computation to that of only performing <a href="https://spark.apache.org/docs/1.3.1/mllib-dimensionality-reduction.html#singular-value-decomposition-svd">SVD</a> on matrix obtained from step 1, which is numerically preferred, and necessary to extract the required eigenvectors.</p><h2 id='modifying-the-engine-template' class='header-anchors'>Modifying the Engine Template</h2><p>We will be modifying the engine template by first re-defining our <code>Query</code> class located in the <code>Engine.scala</code> script as follows:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td><td class="code"><pre><span class="k">class</span> <span class="nc">Query</span><span class="o">(</span>
<span class="k">val</span> <span class="n">features</span> <span class="k">:</span> <span class="kt">String</span>
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/resources/faq/index.html
----------------------------------------------------------------------
diff --git a/resources/faq/index.html b/resources/faq/index.html
index 467e05f..0458adf 100644
--- a/resources/faq/index.html
+++ b/resources/faq/index.html
@@ -74,7 +74,7 @@ Unable to connect to all storage backend<span class="o">(</span>s<span class="o"
2015-02-03 18:40:04,812 ERROR zookeeper.ZooKeeperWatcher - hconnection-0x1e4075ce, <span class="nv">quorum</span><span class="o">=</span>localhost:2181, <span class="nv">baseZNode</span><span class="o">=</span>/hbase Received unexpected KeeperException, re-throwing exception
org.apache.zookeeper.KeeperException<span class="nv">$ConnectionLossException</span>: KeeperErrorCode <span class="o">=</span> ConnectionLoss <span class="k">for</span> /hbase/hbaseid
...
-2015-02-03 18:40:07,021 ERROR hbase.StorageClient - Failed to connect to HBase. Plase check <span class="k">if </span>HBase is running properly.
+2015-02-03 18:40:07,021 ERROR hbase.StorageClient - Failed to connect to HBase. Please check <span class="k">if </span>HBase is running properly.
2015-02-03 18:40:07,026 ERROR storage.Storage<span class="nv">$ </span>- Error initializing storage client <span class="k">for </span><span class="nb">source </span>HBASE
2015-02-03 18:40:07,027 ERROR storage.Storage<span class="nv">$ </span>- Can<span class="s1">'t connect to ZooKeeper
java.util.NoSuchElementException: None.get
[05/16] predictionio-site git commit: Documentation based on
apache/predictionio#6c607aa23f2ffaf70f5ba50bdc9bff11f5ebc345
Posted by gi...@apache.org.
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/ecommercerecommendation/quickstart/index.html
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diff --git a/templates/ecommercerecommendation/quickstart/index.html b/templates/ecommercerecommendation/quickstart/index.html
index fd13278..f83991f 100644
--- a/templates/ecommercerecommendation/quickstart/index.html
+++ b/templates/ecommercerecommendation/quickstart/index.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html><html><head><title>Quick Start - E-Commerce Recommendation Engine Template</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Quick Start - E-Commerce Recommendation Engine Template"/><link rel="canonical" href="https://predictionio.apache.org/templates/ecommercerecommendation/quickstart/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax
/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script><script src="//use.typekit.net/pqo0itb.js"></script><script>try{Typekit.load({ async: true });}catch(e){}</script></head><body><div id="global"><header><div class="container" id="header-wrapper"><div class="row"><div class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a href="#"></a><a href="http://predictionio.apache.org/"><img alt="Apache PredictionIO" id="logo" src="/images/logos/logo-ee2b9bb3.png"/></a><span>®</span></div><div id="menu-wrapper"><div id="pill-wrapper"><a class="pill left" href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" href="//github.com/apache/predictionio/">OPEN SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md hidden-lg" src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div id="search-bar-row-wrapper"><div class="container-fluid"
id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 col-xs-11"><div class="hidden-md hidden-lg" id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Quick Start - E-Commerce Recommendation Engine Template</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hid
den-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li cla
ss="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/
batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Sca
la APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/
"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboa
rd</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="
final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query
</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final active" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="l
evel-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span
></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Sub
mit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contri
bute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/gl
ossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">E-Commerce Recommen
dation</a><span class="spacer">></span></li><li><span class="last">Quick Start</span></li></ul></div><div id="page-title"><h1>Quick Start - E-Commerce Recommendation Engine Template</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#overview">Overview</a> </li> <li> <a href="#usage">Usage</a> </li> <li> <a href="#1-install-and-run-predictionio">1. Install and Run PredictionIO</a> </li> <li> <a href="#2-create-a-new-engine-from-an-engine-template">2. Create a new Engine from an Engine Template</a> </li> <li> <a href="#3-generate-an-app-id-and-access-key">3. Generate an App ID and Access Key</a> </li> <li> <a href="#4-collecting-data">4. Collecting Data</a> </li> <li> <a href="#5-deploy-the-engine-as-a-service">5. Deploy the Engine as a Service</a> </li> <li> <a href="#6-use-the-engine">6. Use the Engine</a> </li> <li> <a href="#setting-constraint-unavailableitems">Setting constraint "unavailableItems"</a> </li>
<li> <a href="#advanced-query">Advanced Query</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/templates/ecommercerecommendation/quickstart.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">E-Commerce Recommendation</a><span class="spacer">></span></li><li><span class="last">Quick Start</span></li></ul></div><div id="page-title"><h1>Quick Start - E-Commerce Recommendation Engine Template</h1></div></div><div class="content"> <h2 id='overview' class='header-anchors'>Overview</h2><p>This engine template provides personalized recommendation for e-commerce applications with the following features by default:</p> <ul> <li>Exclude out-of-stock items</li> <li>Provid
e recommendation to new users who sign up after the model is trained</li> <li>Recommend unseen items only (configurable)</li> <li>Recommend popular items if no information about the user is available (added in template version v0.4.0)</li> </ul> <div class="alert-message warning"><p>This template requires PredictionIO version >= 0.9.0</p></div><h2 id='usage' class='header-anchors'>Usage</h2><h3 id='event-data-requirements' class='header-anchors'>Event Data Requirements</h3><p>By default, this template takes the following data from Event Server:</p> <ul> <li>Users' <em>view</em> events</li> <li>Users' <em>buy</em> events</li> <li>Items' with <em>categories</em> properties</li> <li>Constraint <em>unavailableItems</em> set events</li> </ul> <div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>rate</em> and <em>like</em>.</p></div><p>The <em>view</em> events are used as Training Data to train the model. The alg
orithm has a parameter <em>unseenOnly</em>; when this parameter is set to true, the engine would recommend unseen items only. You can specify a list of events which are considered as <em>seen</em> events with the algorithm parameter <em>seenEvents</em>. The default values are <em>view</em> and <em>buy</em> events, which means that the engine by default recommends un-viewed and un-bought items only. You can also define your own events which are considered as <em>seen</em>.</p><p>The constraint <em>unavailableItems</em> set events are used to exclude a list of unaviable items (such as out of stock) for all users in real time.</p><h3 id='input-query' class='header-anchors'>Input Query</h3> <ul> <li>UserID</li> <li>Num of items to be recommended</li> <li>List of white-listed item categories (optional)</li> <li>List of white-listed ItemIds (optional)</li> <li>List of black-listed ItemIds (optional)</li> </ul> <p>The template also supports black-list and whitelist. If a whitelist is provi
ded, the engine will include only those products in the recommendation. Likewise, if a blacklist is provided, the engine will exclude those products in the recommendation.</p><h3 id='output-predictedresult' class='header-anchors'>Output PredictedResult</h3> <ul> <li>A ranked list of recommended itemIDs</li> </ul> <h2 id='1.-install-and-run-predictionio' class='header-anchors'>1. Install and Run PredictionIO</h2> <p>First you need to <a href="/install">install PredictionIO 0.13.0</a> (if you haven't done it).</p><p>Let's say you have installed PredictionIO at <code>/home/yourname/PredictionIO/</code>. For convenience, add PredictionIO's binary command path to your <code>PATH</code>, i.e. <code>/home/yourname/PredictionIO/bin</code>:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span><span class="nv">PATH</span><span class
="o">=</span><span class="nv">$PATH</span>:/home/yourname/PredictionIO/bin; <span class="nb">export </span>PATH
+<!DOCTYPE html><html><head><title>Quick Start - E-Commerce Recommendation Engine Template</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Quick Start - E-Commerce Recommendation Engine Template"/><link rel="canonical" href="https://predictionio.apache.org/templates/ecommercerecommendation/quickstart/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-eccfc6cb.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax
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den-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a class="expandible" href="/"><span>Apache PredictionIO® Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO®</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li cla
ss="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/
batchpredict/"><span>Batch Predictions</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li><li class="level-2"><a class="final" href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Sca
la APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li><li class="level-2"><a class="final" href="/datacollection/plugin/
"><span>Event Server Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboa
rd</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>PredictionIO® Official Templates</span></a><ul><li class="level-2"><a class="final" href="/templates/"><span>Intro</span></a></li><li class="level-2"><a class="expandible" href="#"><span>Recommendation</span></a><ul><li class="level-3"><a class="final" href="/templates/recommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="
final" href="/templates/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/evaluation/"><span>Evaluation Explained</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/reading-custom-events/"><span>Read Custom Events</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-data-prep/"><span>Customize Data Preparator</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/customize-serving/"><span>Customize Serving</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/training-with-implicit-preference/"><span>Train with Implicit Preference</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/blacklist-items/"><span>Filter Recommended Items by Blacklist in Query
</span></a></li><li class="level-3"><a class="final" href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a class="final active" href="/templates/ecommercerecommendation/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust Score</span></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Similar Product</span></a><ul><li class="l
evel-3"><a class="final" href="/templates/similarproduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple Events and Multiple Algorithms</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/return-item-properties/"><span>Returns Item Properties</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate Event</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events for Users</span></a></li><li class="level-3"><a class="final" href="/templates/similarproduct/recommended-user/"><span>Recommend Users</span
></a></li></ul></li><li class="level-2"><a class="expandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a class="final" href="/templates/classification/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final" href="/templates/classification/dase/"><span>DASE</span></a></li><li class="level-3"><a class="final" href="/templates/classification/how-to/"><span>How-To</span></a></li><li class="level-3"><a class="final" href="/templates/classification/add-algorithm/"><span>Use Alternative Algorithm</span></a></li><li class="level-3"><a class="final" href="/templates/classification/reading-custom-properties/"><span>Read Custom Properties</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Sub
mit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Demo</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contri
bute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/resources/release/"><span>Release Cadence</span></a></li><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/gl
ossary/"><span>Glossary</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Apache Software Foundation</span></a><ul><li class="level-2"><a class="final" href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/licenses/"><span>License</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/sponsorship.html"><span>Sponsorship</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li class="level-2"><a class="final" href="https://www.apache.org/security/"><span>Security</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">E-Commerce Recommen
dation</a><span class="spacer">></span></li><li><span class="last">Quick Start</span></li></ul></div><div id="page-title"><h1>Quick Start - E-Commerce Recommendation Engine Template</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#overview">Overview</a> </li> <li> <a href="#usage">Usage</a> </li> <li> <a href="#1-install-and-run-predictionio">1. Install and Run PredictionIO</a> </li> <li> <a href="#2-create-a-new-engine-from-an-engine-template">2. Create a new Engine from an Engine Template</a> </li> <li> <a href="#3-generate-an-app-id-and-access-key">3. Generate an App ID and Access Key</a> </li> <li> <a href="#4-collecting-data">4. Collecting Data</a> </li> <li> <a href="#5-deploy-the-engine-as-a-service">5. Deploy the Engine as a Service</a> </li> <li> <a href="#6-use-the-engine">6. Use the Engine</a> </li> <li> <a href="#setting-constraint-unavailableitems">Setting constraint "unavailableItems"</a> </li>
<li> <a href="#advanced-query">Advanced Query</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/templates/ecommercerecommendation/quickstart.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">E-Commerce Recommendation</a><span class="spacer">></span></li><li><span class="last">Quick Start</span></li></ul></div><div id="page-title"><h1>Quick Start - E-Commerce Recommendation Engine Template</h1></div></div><div class="content"> <h2 id='overview' class='header-anchors'>Overview</h2><p>This engine template provides personalized recommendation for e-commerce applications with the following features by default:</p> <ul> <li>Exclude out-of-stock items</li> <li>Provid
e recommendation to new users who sign up after the model is trained</li> <li>Recommend unseen items only (configurable)</li> <li>Recommend popular items if no information about the user is available (added in template version v0.4.0)</li> </ul> <div class="alert-message warning"><p>This template requires PredictionIO version >= 0.9.0</p></div><h2 id='usage' class='header-anchors'>Usage</h2><h3 id='event-data-requirements' class='header-anchors'>Event Data Requirements</h3><p>By default, this template takes the following data from Event Server:</p> <ul> <li>Users' <em>view</em> events</li> <li>Users' <em>buy</em> events</li> <li>Items' with <em>categories</em> properties</li> <li>Constraint <em>unavailableItems</em> set events</li> </ul> <div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>rate</em> and <em>like</em>.</p></div><p>The <em>view</em> events are used as Training Data to train the model. The alg
orithm has a parameter <em>unseenOnly</em>; when this parameter is set to true, the engine would recommend unseen items only. You can specify a list of events which are considered as <em>seen</em> events with the algorithm parameter <em>seenEvents</em>. The default values are <em>view</em> and <em>buy</em> events, which means that the engine by default recommends un-viewed and un-bought items only. You can also define your own events which are considered as <em>seen</em>.</p><p>The constraint <em>unavailableItems</em> set events are used to exclude a list of unavailable items (such as out of stock) for all users in real time.</p><h3 id='input-query' class='header-anchors'>Input Query</h3> <ul> <li>UserID</li> <li>Num of items to be recommended</li> <li>List of white-listed item categories (optional)</li> <li>List of white-listed ItemIds (optional)</li> <li>List of black-listed ItemIds (optional)</li> </ul> <p>The template also supports black-list and whitelist. If a whitelist is pro
vided, the engine will include only those products in the recommendation. Likewise, if a blacklist is provided, the engine will exclude those products in the recommendation.</p><h3 id='output-predictedresult' class='header-anchors'>Output PredictedResult</h3> <ul> <li>A ranked list of recommended itemIDs</li> </ul> <h2 id='1.-install-and-run-predictionio' class='header-anchors'>1. Install and Run PredictionIO</h2> <p>First you need to <a href="/install">install PredictionIO 0.13.0</a> (if you haven't done it).</p><p>Let's say you have installed PredictionIO at <code>/home/yourname/PredictionIO/</code>. For convenience, add PredictionIO's binary command path to your <code>PATH</code>, i.e. <code>/home/yourname/PredictionIO/bin</code>:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span><span class="nv">PATH</span><span cla
ss="o">=</span><span class="nv">$PATH</span>:/home/yourname/PredictionIO/bin; <span class="nb">export </span>PATH
</pre></td></tr></tbody></table> </div> <div class="alert-message note"><p>If you launched <strong>PredictionIO AWS instance</strong>, the path is located at <code>/opt/PredictionIO/bin</code>.</p></div><p>Once you have completed the installation process, please make sure all the components (PredictionIO Event Server, Elasticsearch, and HBase) are up and running.</p><div class="alert-message note"><p>If you launched <strong>PredictionIO AWS instance</strong>, you can skip <code>pio-start-all</code>. All components should have been started automatically.</p></div><p>If you are using PostgreSQL or MySQL, run the following to start PredictionIO Event Server:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio eventserver &
</pre></td></tr></tbody></table> </div> <p>If instead you are running HBase and Elasticsearch, run the following to start all PredictionIO Event Server, HBase, and Elasticsearch:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio-start-all
</pre></td></tr></tbody></table> </div> <p>You can check the status by running:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio status
@@ -32,7 +32,7 @@ Your system is all ready to go.
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span>
<span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>.
-</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect training data for this Engine. By default, the E-Commerce Recommendation Engine Template supports 2 types of entities and 2 events: <strong>user</strong> and <strong>item</strong>; events <strong>view</strong> and <strong>buy</strong>. An item has the <strong>categories</strong> property, which is a list of category names (String). A user can view and buy an item. The specical <strong>constraint</strong> entiy with entityId <strong>unavailableItems</strong> defines a list of unavailable items and is taken into account in realtime during serving.</p><p>In summary, this template requires '$set' user event, '$set' item event, user-view-item events, user-buy-item event and '$set' constraint event.</p><div class="alert-message info"><p>This template can easily be customized to consider other user-to-it
em events.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when a new user with id "u0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for this user. To send this
event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-fdd01be0-cb3a-45d3-9983-d6c3af176340">REST API</a></li> <li data-lang="python"><a href="#tab-fa117c06-e503-418c-9ff2-c57e805228a1">Python SDK</a></li> <li data-lang="php"><a href="#tab-3d9b5d83-90e5-496d-b2b7-07263fb0ea1f">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-ca7727d8-e246-4a51-9979-dc0d2711bccf">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-b75b0ac9-c5f2-4486-aebe-faa8501d7af3">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-fdd01be0-cb3a-45d3-9983-d6c3af176340"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect training data for this Engine. By default, the E-Commerce Recommendation Engine Template supports 2 types of entities and 2 events: <strong>user</strong> and <strong>item</strong>; events <strong>view</strong> and <strong>buy</strong>. An item has the <strong>categories</strong> property, which is a list of category names (String). A user can view and buy an item. The special <strong>constraint</strong> entity with entityId <strong>unavailableItems</strong> defines a list of unavailable items and is taken into account in realtime during serving.</p><p>In summary, this template requires '$set' user event, '$set' item event, user-view-item events, user-buy-item event and '$set' constraint event.</p><div class="alert-message info"><p>This template can easily be customized to consider other user-to-it
em events.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p><p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <p>For example, when a new user with id "u0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for this user. To send this
event, run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-ad2a3ccc-da7a-4f4a-84a2-94e2decbe1cd">REST API</a></li> <li data-lang="python"><a href="#tab-4175dab6-3847-413e-83e4-071423471266">Python SDK</a></li> <li data-lang="php"><a href="#tab-57a01268-a2c0-4972-9b14-f2ed05956668">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-a24e1a51-0ec7-4649-bc00-8c961bc85743">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-12d18436-cf43-4c1e-9c26-4bf57bb304af">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-ad2a3ccc-da7a-4f4a-84a2-94e2decbe1cd"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -47,7 +47,7 @@ Your system is all ready to go.
"entityId" : "u0",
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-fa117c06-e503-418c-9ff2-c57e805228a1"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-4175dab6-3847-413e-83e4-071423471266"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -78,7 +78,7 @@ Your system is all ready to go.
<span class="n">entity_type</span><span class="o">=</span><span class="s">"user"</span><span class="p">,</span>
<span class="n">entity_id</span><span class="o">=<</span><span class="n">USER_ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-3d9b5d83-90e5-496d-b2b7-07263fb0ea1f"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-57a01268-a2c0-4972-9b14-f2ed05956668"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -119,7 +119,7 @@ Your system is all ready to go.
<span class="s1">'properties'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'categories'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'<CATEGORY_1>'</span><span class="p">,</span> <span class="s1">'<CATEGORY_2>'</span><span class="p">))</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-ca7727d8-e246-4a51-9979-dc0d2711bccf"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-a24e1a51-0ec7-4649-bc00-8c961bc85743"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -136,7 +136,7 @@ Your system is all ready to go.
<span class="s1">'user'</span><span class="p">,</span>
<span class="o"><</span><span class="no">USER</span> <span class="no">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-b75b0ac9-c5f2-4486-aebe-faa8501d7af3"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-12d18436-cf43-4c1e-9c26-4bf57bb304af"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -161,7 +161,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">entityType</span><span class="o">(</span><span class="s">"user"</span><span class="o">)</span>
<span class="o">.</span><span class="na">entityId</span><span class="o">(<</span><span class="n">USER_ID</span><span class="o">>);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">userEvent</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a new item "i0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for the item. Note that the item is set with categories properties: <code>"c1"</code> and <code>"c2"</code>. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-e45acb9b-a30b-4d61-90a2-ff369ca6ceb2">REST API</a></li> <li data-lang="python"><a href="#tab-999fbe7e-3b3f-416b-be4c-7be0ab393842">Python SDK</a></li> <li data-lang="php"><a href="#tab-e2ec96d9-d87e-4aae-b421-ac3b5b0728b4">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-03b393b3-729c-4e65-a0f2-9ea2150acf63">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-2d4d5967-2558-416b-9e49-035c81f043c1">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-e45acb
9b-a30b-4d61-90a2-ff369ca6ceb2"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>When a new item "i0" is created in your app on time <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified), you can send a <code>$set</code> event for the item. Note that the item is set with categories properties: <code>"c1"</code> and <code>"c2"</code>. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-94d21f56-6837-4f81-b49c-d5dafecb5bad">REST API</a></li> <li data-lang="python"><a href="#tab-fadc5726-2c61-4a8d-a87b-fcbd9fe28942">Python SDK</a></li> <li data-lang="php"><a href="#tab-60342bcc-3661-41c8-b0d8-bfc7b11a5c1b">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-76cd97fe-5031-4f73-9f5d-28dc6a27f313">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-0ed7f311-1c60-4c9e-9583-f5dcf9a14264">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-94d21f
56-6837-4f81-b49c-d5dafecb5bad"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -182,7 +182,7 @@ Your system is all ready to go.
}
"eventTime" : "2014-11-02T09:39:45.618-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-999fbe7e-3b3f-416b-be4c-7be0ab393842"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-fadc5726-2c61-4a8d-a87b-fcbd9fe28942"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -201,7 +201,7 @@ Your system is all ready to go.
<span class="s">"categories"</span> <span class="p">:</span> <span class="p">[</span><span class="s">"<CATEGORY_1>"</span><span class="p">,</span> <span class="s">"<CATEGORY_2>"</span><span class="p">]</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-e2ec96d9-d87e-4aae-b421-ac3b5b0728b4"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-60342bcc-3661-41c8-b0d8-bfc7b11a5c1b"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -218,7 +218,7 @@ Your system is all ready to go.
<span class="s1">'properties'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'categories'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'<CATEGORY_1>'</span><span class="p">,</span> <span class="s1">'<CATEGORY_2>'</span><span class="p">))</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-03b393b3-729c-4e65-a0f2-9ea2150acf63"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-76cd97fe-5031-4f73-9f5d-28dc6a27f313"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -235,7 +235,7 @@ Your system is all ready to go.
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-2d4d5967-2558-416b-9e49-035c81f043c1"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-0ed7f311-1c60-4c9e-9583-f5dcf9a14264"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -248,7 +248,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">entityId</span><span class="o">(<</span><span class="n">ITEM_ID</span><span class="o">>)</span>
<span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"categories"</span><span class="o">,</span> <span class="n">ImmutableList</span><span class="o">.</span><span class="na">of</span><span class="o">(</span><span class="s">"<CATEGORY_1>"</span><span class="o">,</span> <span class="s">"<CATEGORY_2>"</span><span class="o">));</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">itemEvent</span><span class="o">)</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>The properties of the <code>user</code> and <code>item</code> can be set, unset, or delete by special events <strong>$set</strong>, <strong>$unset</strong> and <strong>$delete</strong>. Please refer to <a href="/datacollection/eventapi/#note-about-properties">Event API</a> for more details of using these events.</p><p>When the user "u0" view item "i0" on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-30ba6877-181b-4243-9a49-71d976ba5fff">REST API</a></li> <li data-lang="python"><a href="#tab-d6a8c0b5-80c3-4858-b986-c3d89067ff33">Python SDK</a></li> <li data-lang="php"><a href="#tab-c29ef45c-4b24-4dc4-9d1e-16d147fddafb">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-ec21a837-31df-4977-a972-fefb31
472879">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-b86fa7aa-3dfe-4d1e-8260-02c789c0f96b">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-30ba6877-181b-4243-9a49-71d976ba5fff"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>The properties of the <code>user</code> and <code>item</code> can be set, unset, or delete by special events <strong>$set</strong>, <strong>$unset</strong> and <strong>$delete</strong>. Please refer to <a href="/datacollection/eventapi/#note-about-properties">Event API</a> for more details of using these events.</p><p>When the user "u0" view item "i0" on time <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-5eafad4b-1372-4ce9-b981-f6314f0804b9">REST API</a></li> <li data-lang="python"><a href="#tab-f3ad8a3b-f028-4c05-9dac-e61b1ae5915d">Python SDK</a></li> <li data-lang="php"><a href="#tab-b3182e74-5a42-47bc-8398-05b1d08bf372">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-c96b0c8f-8635-442e-8036-782226
bd97b4">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-0021b35e-f36a-4f1e-b7c5-67ed349e8b95">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-5eafad4b-1372-4ce9-b981-f6314f0804b9"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -267,7 +267,7 @@ Your system is all ready to go.
"targetEntityId" : "i0",
"eventTime" : "2014-11-10T12:34:56.123-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-d6a8c0b5-80c3-4858-b986-c3d89067ff33"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-f3ad8a3b-f028-4c05-9dac-e61b1ae5915d"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -284,7 +284,7 @@ Your system is all ready to go.
<span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-c29ef45c-4b24-4dc4-9d1e-16d147fddafb"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-b3182e74-5a42-47bc-8398-05b1d08bf372"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -303,7 +303,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-ec21a837-31df-4977-a972-fefb31472879"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-c96b0c8f-8635-442e-8036-782226bd97b4"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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@@ -322,7 +322,7 @@ Your system is all ready to go.
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-b86fa7aa-3dfe-4d1e-8260-02c789c0f96b"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-0021b35e-f36a-4f1e-b7c5-67ed349e8b95"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -337,7 +337,7 @@ Your system is all ready to go.
<span class="o">.</span><span class="na">targetEntityType</span><span class="o">(</span><span class="s">"item"</span><span class="o">)</span>
<span class="o">.</span><span class="na">targetEntityId</span><span class="o">(<</span><span class="n">ITEM_ID</span><span class="o">>);</span>
<span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">viewEvent</span><span class="o">);</span>
-</pre></td> </tr></tbody></table> </div> </div> </div> <p>When the user "u0" buy item "i0" on time <code>2014-11-10T13:00:00.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-b3d7842f-8347-4364-902a-4062ae78b429">REST API</a></li> <li data-lang="python"><a href="#tab-b1ea6c58-5c7b-4af5-9349-19768a4ebf39">Python SDK</a></li> <li data-lang="php"><a href="#tab-072a87ae-5338-47d4-9aab-35e8724e1fdc">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-be089b79-2f1f-4e11-a7bc-cfa901604710">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-2406a891-22e3-464b-bd97-2ae0599b8730">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-b3d7842f-8347-4364-902a-4062ae78b429"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-
align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> </div> <p>When the user "u0" buy item "i0" on time <code>2014-11-10T13:00:00.123-08:00</code> (current time will be used if eventTime is not specified), you can send a view event. Run the following <code>curl</code> command:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-b026293c-7269-4c76-aa9e-51c8984b5ab1">REST API</a></li> <li data-lang="python"><a href="#tab-7d6a0c10-d4eb-4d3e-a291-e2db7a8f00c9">Python SDK</a></li> <li data-lang="php"><a href="#tab-204592ca-594f-4bfc-977f-997fe3179eb4">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-052fa7e4-a021-4dd4-bb3f-53cf7b8a6543">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-3eb91da8-18ae-4ab6-90a2-622adca25c4a">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-b026293c-7269-4c76-aa9e-51c8984b5ab1"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-
align: right"><pre class="lineno">1
2
3
4
@@ -356,7 +356,7 @@ Your system is all ready to go.
"targetEntityId" : "i0",
"eventTime" : "2014-11-10T13:00:00.123-08:00"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-b1ea6c58-5c7b-4af5-9349-19768a4ebf39"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-7d6a0c10-d4eb-4d3e-a291-e2db7a8f00c9"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
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4
@@ -373,7 +373,7 @@ Your system is all ready to go.
<span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span>
<span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-072a87ae-5338-47d4-9aab-35e8724e1fdc"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-204592ca-594f-4bfc-977f-997fe3179eb4"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -392,7 +392,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">></span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-be089b79-2f1f-4e11-a7bc-cfa901604710"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-052fa7e4-a021-4dd4-bb3f-53cf7b8a6543"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
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@@ -409,7 +409,7 @@ Your system is all ready to go.
<span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">></span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-2406a891-22e3-464b-bd97-2ae0599b8730"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-3eb91da8-18ae-4ab6-90a2-622adca25c4a"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -490,19 +490,19 @@ User u10 buys item i40
</pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000
<span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve.
-</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve predicted results. To recommend 4 items to user ID "u1". You send this JSON <code>{ "user": "u1", "num": 4 }</code> to the deployed engine and it will return a JSON of the recommended items. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="js
on"><a href="#tab-b423f98a-2502-4627-b363-3b8b86dddc66">REST API</a></li> <li data-lang="python"><a href="#tab-0fad5c1b-f428-4131-9ef0-c28e445fd7df">Python SDK</a></li> <li data-lang="php"><a href="#tab-a547ad7b-24eb-49be-ac02-a47fb90b3cf7">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-b3bdc8f0-77d8-4e81-924b-e8f0b72ba4ca">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-3733150d-f77a-4a74-8aa9-e5d6a9b3fbd4">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-b423f98a-2502-4627-b363-3b8b86dddc66"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can retrieve predicted results. To recommend 4 items to user ID "u1". You send this JSON <code>{ "user": "u1", "num": 4 }</code> to the deployed engine and it will return a JSON of the recommended items. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang="js
on"><a href="#tab-c3ff31ac-27fe-4ce3-8ed3-96793f84617f">REST API</a></li> <li data-lang="python"><a href="#tab-45135a94-5511-4347-a552-2a1ab14455d5">Python SDK</a></li> <li data-lang="php"><a href="#tab-f45ce451-bc46-4d21-9266-afa486b81241">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-6188a095-72b2-43a5-bb03-3fbc6645b296">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-53cefd9f-7e4a-41b5-84a6-08cba5a84245">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-c3ff31ac-27fe-4ce3-8ed3-96793f84617f"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span>
-d <span class="s1">'{ "user": "u1", "num": 4 }'</span> <span class="se">\</span>
http://localhost:8000/queries.json
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-0fad5c1b-f428-4131-9ef0-c28e445fd7df"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-45135a94-5511-4347-a552-2a1ab14455d5"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">predictionio</span>
<span class="n">engine_client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EngineClient</span><span class="p">(</span><span class="n">url</span><span class="o">=</span><span class="s">"http://localhost:8000"</span><span class="p">)</span>
<span class="k">print</span> <span class="n">engine_client</span><span class="o">.</span><span class="n">send_query</span><span class="p">({</span><span class="s">"user"</span><span class="p">:</span> <span class="s">"u1"</span><span class="p">,</span> <span class="s">"num"</span><span class="p">:</span> <span class="mi">4</span><span class="p">})</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-a547ad7b-24eb-49be-ac02-a47fb90b3cf7"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-f45ce451-bc46-4d21-9266-afa486b81241"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -521,7 +521,7 @@ http://localhost:8000/queries.json
<span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-b3bdc8f0-77d8-4e81-924b-e8f0b72ba4ca"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-6188a095-72b2-43a5-bb03-3fbc6645b296"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
4
@@ -534,7 +534,7 @@ http://localhost:8000/queries.json
<span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="nf">send_query</span><span class="p">(</span><span class="s1">'user'</span> <span class="o">=></span> <span class="s1">'i1'</span><span class="p">,</span> <span class="s1">'num'</span> <span class="o">=></span> <span class="mi">4</span><span class="p">)</span>
<span class="nb">puts</span> <span class="n">response</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-3733150d-f77a-4a74-8aa9-e5d6a9b3fbd4"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-53cefd9f-7e4a-41b5-84a6-08cba5a84245"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -578,7 +578,7 @@ http://localhost:8000/queries.json
<span class="o">{</span><span class="s2">"item"</span>:<span class="s2">"i3"</span>,<span class="s2">"score"</span>:0.003007015026561692<span class="o">}</span>
<span class="o">]</span>
<span class="o">}</span>
-</pre></td></tr></tbody></table> </div> <p><em>MyECommerceRecommendation</em> is now running.</p> <div class="alert-message info"><p>To update the model periodically with new data, simply set up a cron job to call <code>pio train</code> and <code>pio deploy</code>. The engine will continue to serve prediction results during the re-train process. After the training is completed, <code>pio deploy</code> will automatically shutdown the existing engine server and bring up a new process on the same port.</p></div><div class="alert-message info"><p><strong>Note that if you import a <em>large</em> data set</strong> and the training seems to be taking forever or getting stuck, it's likely that there is not enough executor memory. It's recommended to setup a Spark standalone cluster, you'll need to specify more driver and executor memory when training with a large data set. Please see <a href="/resources/faq/#engine-training">FAQ here</a> for instructions.</p></div> <h2 id='setti
ng-constraint-"unavailableitems"' class='header-anchors'>Setting constraint "unavailableItems"</h2><p>Now let's send a item contraint "unavailableItems" (replace accessKey with your Access Key):</p><div class="alert-message note"><p>You can also use SDK to send this event as described in the SDK sample above.</p></div><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-a80e3f35-86f1-452c-a7fa-a9eed41dd1ed">REST API</a></li> <li data-lang="python"><a href="#tab-1e0c11cd-4473-47aa-9245-0ac6119b8fe8">Python SDK</a></li> <li data-lang="php"><a href="#tab-ee88299f-4e9a-4b3d-b566-cf15dc3ec3e7">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-319e0218-585e-4caa-a0b0-d32ce615d732">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-e11eefb6-0d9c-4251-905d-1da0e621881c">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-a80e3f35-86f1-452c-a7fa-a9eed41dd1ed"> <div class="highlight shell"> <table style="border-
spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td></tr></tbody></table> </div> <p><em>MyECommerceRecommendation</em> is now running.</p> <div class="alert-message info"><p>To update the model periodically with new data, simply set up a cron job to call <code>pio train</code> and <code>pio deploy</code>. The engine will continue to serve prediction results during the re-train process. After the training is completed, <code>pio deploy</code> will automatically shutdown the existing engine server and bring up a new process on the same port.</p></div><div class="alert-message info"><p><strong>Note that if you import a <em>large</em> data set</strong> and the training seems to be taking forever or getting stuck, it's likely that there is not enough executor memory. It's recommended to setup a Spark standalone cluster, you'll need to specify more driver and executor memory when training with a large data set. Please see <a href="/resources/faq/#engine-training">FAQ here</a> for instructions.</p></div> <h2 id='setti
ng-constraint-"unavailableitems"' class='header-anchors'>Setting constraint "unavailableItems"</h2><p>Now let's send a item contraint "unavailableItems" (replace accessKey with your Access Key):</p><div class="alert-message note"><p>You can also use SDK to send this event as described in the SDK sample above.</p></div><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-7221cf57-3422-4be7-a762-a62a8eb9b80c">REST API</a></li> <li data-lang="python"><a href="#tab-dbe9bc18-721e-4650-a7cb-0f0632fc799a">Python SDK</a></li> <li data-lang="php"><a href="#tab-2c32c5e6-295f-4060-87bd-135e596ba233">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-4f95e373-05b3-429e-8f01-b54bb2e16b41">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-34ddca14-df3f-475c-893b-0860ccacc0f4">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-7221cf57-3422-4be7-a762-a62a8eb9b80c"> <div class="highlight shell"> <table style="border-
spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -599,7 +599,7 @@ http://localhost:8000/queries.json
}
"eventTime" : "2015-02-17T02:11:21.934Z"
}'</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-1e0c11cd-4473-47aa-9245-0ac6119b8fe8"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-dbe9bc18-721e-4650-a7cb-0f0632fc799a"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -618,7 +618,7 @@ http://localhost:8000/queries.json
<span class="s">"items"</span> <span class="p">:</span> <span class="p">[</span><span class="s">"<ITEM ID1>"</span><span class="p">,</span> <span class="s">"<ITEM ID2>"</span><span class="p">]</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-ee88299f-4e9a-4b3d-b566-cf15dc3ec3e7"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-2c32c5e6-295f-4060-87bd-135e596ba233"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -635,7 +635,7 @@ http://localhost:8000/queries.json
<span class="s1">'properties'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'items'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'<ITEM ID1>'</span><span class="p">,</span> <span class="s1">'<ITEM ID2>'</span><span class="p">))</span>
<span class="p">));</span>
<span class="cp">?></span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-319e0218-585e-4caa-a0b0-d32ce615d732"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-4f95e373-05b3-429e-8f01-b54bb2e16b41"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -650,7 +650,7 @@ http://localhost:8000/queries.json
<span class="s1">'properties'</span> <span class="o">=></span> <span class="p">{</span> <span class="s1">'items'</span> <span class="o">=></span> <span class="p">[</span><span class="s1">'<ITEM ID1>'</span><span class="p">,</span> <span class="s1">'<ITEM ID2>'</span><span class="p">]</span> <span class="p">}</span>
<span class="p">}</span>
<span class="p">)</span>
-</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-e11eefb6-0d9c-4251-905d-1da0e621881c"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
+</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-34ddca14-df3f-475c-893b-0860ccacc0f4"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1
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@@ -663,7 +663,7 @@ http://localhost:8000/queries.json
<span class="o">.</span><span class="na">entityId</span><span class="o">(</span><span class="s">"unavailableItems"</span><span class="o">)</span>
<span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"items"</span><span class="o">,</span> <span class="n">ImmutableList</span><span class="o">.</span><span class="na">of</span><span class="o">(</span><span class="s">"<ITEM ID1>"</span><span class="o">,</span> <span class="s">"<ITEM ID2>"</span><span class="o">));</span>
<span class="n">cl
<TRUNCATED>