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Posted to commits@mahout.apache.org by ra...@apache.org on 2017/05/03 05:08:51 UTC
[1/2] mahout git commit: NO-JIRA Add ASFv2 License
Repository: mahout
Updated Branches:
refs/heads/website 516e3fb9a -> 0b38f5167
NO-JIRA Add ASFv2 License
Project: http://git-wip-us.apache.org/repos/asf/mahout/repo
Commit: http://git-wip-us.apache.org/repos/asf/mahout/commit/c8bdf2ef
Tree: http://git-wip-us.apache.org/repos/asf/mahout/tree/c8bdf2ef
Diff: http://git-wip-us.apache.org/repos/asf/mahout/diff/c8bdf2ef
Branch: refs/heads/website
Commit: c8bdf2efc66d9dbba07d0c50d8369fb721581149
Parents: 516e3fb
Author: rawkintrevo <tr...@gmail.com>
Authored: Wed May 3 00:07:22 2017 -0500
Committer: rawkintrevo <tr...@gmail.com>
Committed: Wed May 3 00:07:22 2017 -0500
----------------------------------------------------------------------
examples/bin/SparseSparseDrmTimer.mscala | 17 +++++++++-
website/docs/algorithms/linear-algebra/index.md | 0
.../docs/algorithms/preprocessors/template.md | 20 ------------
website/docs/algorithms/reccomenders/index.md | 33 ++++++++++++++++++++
.../reccomenders/recommender-overview.md | 33 --------------------
.../algorithms/regression/cochrane-orcutt.md | 9 ------
.../algorithms/regression/fittness-tests.md | 0
website/docs/algorithms/regression/index.md | 0
.../serial-correlation/cochrane-orcutt.md | 9 ++++++
.../regression/serial-correlation/dw-test.md | 0
website/docs/algorithms/template.md | 20 ++++++++++++
.../docs/tutorials/mahout-in-zeppelin/index.md | 0
12 files changed, 78 insertions(+), 63 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/examples/bin/SparseSparseDrmTimer.mscala
----------------------------------------------------------------------
diff --git a/examples/bin/SparseSparseDrmTimer.mscala b/examples/bin/SparseSparseDrmTimer.mscala
index 947dd73..3cd61d5 100644
--- a/examples/bin/SparseSparseDrmTimer.mscala
+++ b/examples/bin/SparseSparseDrmTimer.mscala
@@ -1,4 +1,19 @@
-
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+*/
def timeSparseDRMMMul(m: Int, n: Int, s: Int, para: Int, pctDense: Double = .20, seed: Long = 1234L): Long = {
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/linear-algebra/index.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/linear-algebra/index.md b/website/docs/algorithms/linear-algebra/index.md
new file mode 100644
index 0000000..e69de29
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/preprocessors/template.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/preprocessors/template.md b/website/docs/algorithms/preprocessors/template.md
deleted file mode 100644
index 4a48829..0000000
--- a/website/docs/algorithms/preprocessors/template.md
+++ /dev/null
@@ -1,20 +0,0 @@
----
-layout: algorithm
-title: AsFactor
-theme:
- name: mahout2
----
-
-TODO: Fill this out!
-Stub
-
-### About
-
-### Parameters
-
-### Example
-
-
-
-
-
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/reccomenders/index.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/reccomenders/index.md b/website/docs/algorithms/reccomenders/index.md
new file mode 100644
index 0000000..00d8ec4
--- /dev/null
+++ b/website/docs/algorithms/reccomenders/index.md
@@ -0,0 +1,33 @@
+---
+layout: algorithm
+title: Recommender Quickstart
+theme:
+ name: retro-mahout
+---
+
+
+# Recommender Overview
+
+Recommenders have changed over the years. Mahout contains a long list of them, which you can still use. But to get the best out of our more modern aproach we'll need to think of the Recommender as a "model creation" component—supplied by Mahout's new spark-itemsimilarity job, and a "serving" component—supplied by a modern scalable search engine, like Solr.
+
+
+
+To integrate with your application you will collect user interactions storing them in a DB and also in a from usable by Mahout. The simplest way to do this is to log user interactions to csv files (user-id, item-id). The DB should be setup to contain the last n user interactions, which will form part of the query for recommendations.
+
+Mahout's spark-itemsimilarity will create a table of (item-id, list-of-similar-items) in csv form. Think of this as an item collection with one field containing the item-ids of similar items. Index this with your search engine.
+
+When your application needs recommendations for a specific person, get the latest user history of interactions from the DB and query the indicator collection with this history. You will get back an ordered list of item-ids. These are your recommendations. You may wish to filter out any that the user has already seen but that will depend on your use case.
+
+All ids for users and items are preserved as string tokens and so work as an external key in DBs or as doc ids for search engines, they also work as tokens for search queries.
+
+##References
+
+1. A free ebook, which talks about the general idea: [Practical Machine Learning](https://www.mapr.com/practical-machine-learning)
+2. A slide deck, which talks about mixing actions or other indicators: [Creating a Multimodal Recommender with Mahout and a Search Engine](http://occamsmachete.com/ml/2014/10/07/creating-a-unified-recommender-with-mahout-and-a-search-engine/)
+3. Two blog posts: [What's New in Recommenders: part #1](http://occamsmachete.com/ml/2014/08/11/mahout-on-spark-whats-new-in-recommenders/)
+and [What's New in Recommenders: part #2](http://occamsmachete.com/ml/2014/09/09/mahout-on-spark-whats-new-in-recommenders-part-2/)
+3. A post describing the loglikelihood ratio: [Surprise and Coinsidense](http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html) LLR is used to reduce noise in the data while keeping the calculations O(n) complexity.
+
+##Mahout Model Creation
+
+See the page describing [*spark-itemsimilarity*](http://mahout.apache.org/users/recommender/intro-cooccurrence-spark.html) for more details.
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/reccomenders/recommender-overview.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/reccomenders/recommender-overview.md b/website/docs/algorithms/reccomenders/recommender-overview.md
deleted file mode 100644
index 00d8ec4..0000000
--- a/website/docs/algorithms/reccomenders/recommender-overview.md
+++ /dev/null
@@ -1,33 +0,0 @@
----
-layout: algorithm
-title: Recommender Quickstart
-theme:
- name: retro-mahout
----
-
-
-# Recommender Overview
-
-Recommenders have changed over the years. Mahout contains a long list of them, which you can still use. But to get the best out of our more modern aproach we'll need to think of the Recommender as a "model creation" component—supplied by Mahout's new spark-itemsimilarity job, and a "serving" component—supplied by a modern scalable search engine, like Solr.
-
-
-
-To integrate with your application you will collect user interactions storing them in a DB and also in a from usable by Mahout. The simplest way to do this is to log user interactions to csv files (user-id, item-id). The DB should be setup to contain the last n user interactions, which will form part of the query for recommendations.
-
-Mahout's spark-itemsimilarity will create a table of (item-id, list-of-similar-items) in csv form. Think of this as an item collection with one field containing the item-ids of similar items. Index this with your search engine.
-
-When your application needs recommendations for a specific person, get the latest user history of interactions from the DB and query the indicator collection with this history. You will get back an ordered list of item-ids. These are your recommendations. You may wish to filter out any that the user has already seen but that will depend on your use case.
-
-All ids for users and items are preserved as string tokens and so work as an external key in DBs or as doc ids for search engines, they also work as tokens for search queries.
-
-##References
-
-1. A free ebook, which talks about the general idea: [Practical Machine Learning](https://www.mapr.com/practical-machine-learning)
-2. A slide deck, which talks about mixing actions or other indicators: [Creating a Multimodal Recommender with Mahout and a Search Engine](http://occamsmachete.com/ml/2014/10/07/creating-a-unified-recommender-with-mahout-and-a-search-engine/)
-3. Two blog posts: [What's New in Recommenders: part #1](http://occamsmachete.com/ml/2014/08/11/mahout-on-spark-whats-new-in-recommenders/)
-and [What's New in Recommenders: part #2](http://occamsmachete.com/ml/2014/09/09/mahout-on-spark-whats-new-in-recommenders-part-2/)
-3. A post describing the loglikelihood ratio: [Surprise and Coinsidense](http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html) LLR is used to reduce noise in the data while keeping the calculations O(n) complexity.
-
-##Mahout Model Creation
-
-See the page describing [*spark-itemsimilarity*](http://mahout.apache.org/users/recommender/intro-cooccurrence-spark.html) for more details.
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/regression/cochrane-orcutt.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/cochrane-orcutt.md b/website/docs/algorithms/regression/cochrane-orcutt.md
deleted file mode 100644
index a88a0a0..0000000
--- a/website/docs/algorithms/regression/cochrane-orcutt.md
+++ /dev/null
@@ -1,9 +0,0 @@
----
-layout: algorithm
-title: Cochrane-Orcutt Procedure
-theme:
- name: mahout2
----
-
-TODO: Fill this out!
-Stub
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/regression/fittness-tests.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/fittness-tests.md b/website/docs/algorithms/regression/fittness-tests.md
new file mode 100644
index 0000000..e69de29
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/regression/index.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/index.md b/website/docs/algorithms/regression/index.md
new file mode 100644
index 0000000..e69de29
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md b/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md
new file mode 100644
index 0000000..a88a0a0
--- /dev/null
+++ b/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md
@@ -0,0 +1,9 @@
+---
+layout: algorithm
+title: Cochrane-Orcutt Procedure
+theme:
+ name: mahout2
+---
+
+TODO: Fill this out!
+Stub
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/regression/serial-correlation/dw-test.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/serial-correlation/dw-test.md b/website/docs/algorithms/regression/serial-correlation/dw-test.md
new file mode 100644
index 0000000..e69de29
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/algorithms/template.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/template.md b/website/docs/algorithms/template.md
new file mode 100644
index 0000000..4a48829
--- /dev/null
+++ b/website/docs/algorithms/template.md
@@ -0,0 +1,20 @@
+---
+layout: algorithm
+title: AsFactor
+theme:
+ name: mahout2
+---
+
+TODO: Fill this out!
+Stub
+
+### About
+
+### Parameters
+
+### Example
+
+
+
+
+
http://git-wip-us.apache.org/repos/asf/mahout/blob/c8bdf2ef/website/docs/tutorials/mahout-in-zeppelin/index.md
----------------------------------------------------------------------
diff --git a/website/docs/tutorials/mahout-in-zeppelin/index.md b/website/docs/tutorials/mahout-in-zeppelin/index.md
new file mode 100644
index 0000000..e69de29
[2/2] mahout git commit: WEBSITE Adding Docs
Posted by ra...@apache.org.
WEBSITE Adding Docs
Project: http://git-wip-us.apache.org/repos/asf/mahout/repo
Commit: http://git-wip-us.apache.org/repos/asf/mahout/commit/0b38f516
Tree: http://git-wip-us.apache.org/repos/asf/mahout/tree/0b38f516
Diff: http://git-wip-us.apache.org/repos/asf/mahout/diff/0b38f516
Branch: refs/heads/website
Commit: 0b38f5167297b3654f1f5fa5e79ce6e8d086ae53
Parents: c8bdf2e
Author: rawkintrevo <tr...@gmail.com>
Authored: Wed May 3 00:08:20 2017 -0500
Committer: rawkintrevo <tr...@gmail.com>
Committed: Wed May 3 00:08:20 2017 -0500
----------------------------------------------------------------------
website/docs/_includes/algo_navbar.html | 23 +-
website/docs/_includes/mr_tutorial_navbar.html | 9 +
website/docs/_includes/navbar.html | 24 +-
website/docs/algorithms/linear-algebra/index.md | 16 ++
.../algorithms/regression/fittness-tests.md | 17 ++
website/docs/algorithms/regression/index.md | 21 ++
website/docs/algorithms/regression/ols.md | 61 +++-
.../serial-correlation/cochrane-orcutt.md | 11 +-
.../regression/serial-correlation/dw-test.md | 18 ++
.../docs/tutorials/cco-lastfm/cco-lastfm.scala | 58 ++--
.../docs/tutorials/mahout-in-zeppelin/index.md | 276 +++++++++++++++++++
.../tutorials/mahout-in-zeppelin/zeppelin1.png | Bin 0 -> 50936 bytes
.../tutorials/mahout-in-zeppelin/zeppelin2.png | Bin 0 -> 46906 bytes
.../tutorials/mahout-in-zeppelin/zeppelin3.png | Bin 0 -> 68551 bytes
website/front/community/blogs.md | 5 +
15 files changed, 488 insertions(+), 51 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/_includes/algo_navbar.html
----------------------------------------------------------------------
diff --git a/website/docs/_includes/algo_navbar.html b/website/docs/_includes/algo_navbar.html
index 831f48d..92fd4c8 100644
--- a/website/docs/_includes/algo_navbar.html
+++ b/website/docs/_includes/algo_navbar.html
@@ -1,6 +1,7 @@
<div id="AlgoMenu">
+ <span><b>Mahout-Samsara Algorithms</b></span>
<div class="list-group panel">
- <a href="#linalg" class="list-group-item list-group-item-success" data-toggle="collapse" data-parent="#AlgoMenu"><b>Linear Algebra Algorithms</b><i class="fa fa-caret-down"></i></a>
+ <a href="#linalg" class="list-group-item list-group-item-success" data-toggle="collapse" data-parent="#AlgoMenu"><b>Linear Algebra</b><i class="fa fa-caret-down"></i></a>
<div class="collapse" id="linalg">
<ul class="nav sidebar-nav">
<li> <a href="{{ BASE_PATH }}/algorithms/linear-algebra/d-als.html">Distributed Alternating Least Squares</a></li>
@@ -17,5 +18,25 @@
<li> <a href="{{ BASE_PATH }}/algorithms/preprocessors/MeanCenter.html">MeanCenter</a></li>
</ul>
</div>
+ <a href="#regression" class="list-group-item list-group-item-success" data-toggle="collapse" data-parent="#AlgoMenu"><b>Regression</b><i class="fa fa-caret-down"></i></a>
+ <div class="collapse" id="regression">
+ <ul class="nav sidebar-nav">
+ <a href="#serial-correlation" class="list-group-item list-group-item-success" data-toggle="collapse" data-parent="#regression"><b>• Serial Correlation</b><i class="fa fa-caret-down"></i></a>
+ <div class="collapse" id="serial-correlation">
+ <ul class="nav sidebar-nav">
+ <li> <a href="{{ BASE_PATH }}/algorithms/regression/serial-correlation/cochrane-orcutt.html">Cochrane-Orcutt Procedure</a></li>
+ <li> <a href="{{ BASE_PATH }}/algorithms/regression/serial-correlation/dw-test.html">Durbin Watson Test</a></li>
+ </ul>
+ </div>
+ <li> <a href="{{ BASE_PATH }}/algorithms/regression/ols.html">Ordinary Least Squares (Closed Form)</a></li>
+ <li> <a href="{{ BASE_PATH }}/algorithms/regression/fittness-tests.html">Fitness Tests</a></li>
+ </ul>
+ </div>
+ <a href="#reccomenders" class="list-group-item list-group-item-success" data-toggle="collapse" data-parent="#AlgoMenu"><b>Reccomenders</b><i class="fa fa-caret-down"></i></a>
+ <div class="collapse" id="reccomenders">
+ <ul class="nav sidebar-nav">
+ <li> <a href="{{ BASE_PATH }}/algorithms/reccomenders">Reccomender Overview</a></li>
+ </ul>
+ </div>
</div>
</div>
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/_includes/mr_tutorial_navbar.html
----------------------------------------------------------------------
diff --git a/website/docs/_includes/mr_tutorial_navbar.html b/website/docs/_includes/mr_tutorial_navbar.html
index b9f0140..cd268f5 100644
--- a/website/docs/_includes/mr_tutorial_navbar.html
+++ b/website/docs/_includes/mr_tutorial_navbar.html
@@ -8,6 +8,7 @@
<li> <a href="{{ BASE_PATH }}/tutorials/map-reduce/classification/breiman-example.html">Breiman Example</a></li>
<li> <a href="{{ BASE_PATH }}/tutorials/map-reduce/classification/twenty-newsgroups.html">Twenty Newsgroups Example</a></li>
<li> <a href="{{ BASE_PATH }}/tutorials/map-reduce/classification/wikipedia-classifier-example.html">Wikipedia Classifier Example</a></li>
+ <li> <a href="{{ BASE_PATH }}/tutorials/map-reduce/classification/parallel-frequent-pattern-mining.html">Parallel Frequent Pattern Mining</a></li>
</ul>
</div>
<a href="#clustering" class="list-group-item list-group-item-success" data-toggle="collapse" data-parent="#MrTutorialMenu"><b>Clustering</b><i class="fa fa-caret-down"></i></a>
@@ -25,5 +26,13 @@
<li> <a href="{{ BASE_PATH }}/tutorials/map-reduce/clustering/visualizing-sample-clusters.html">Visualizing Sample Clusters</a></li>
</ul>
</div>
+ <a href="#misc" class="list-group-item list-group-item-success" data-toggle="collapse" data-parent="#MrTutorialMenu"><b>Miscelaneous</b><i class="fa fa-caret-down"></i></a>
+ <div class="collapse" id="misc">
+ <ul class="nav sidebar-nav">
+ <li> <a href="{{ BASE_PATH }}/tutorials/map-reduce/misc/mr---map-reduce.html">MR Map-Reduce</a></li>
+ <li> <a href="{{ BASE_PATH }}/tutorials/map-reduce/misc/parallel-frequent-pattern-mining.html">Parallel Frequent Pattern Mining</a></li>
+ <li> <a href="{{ BASE_PATH }}/tutorials/map-reduce/misc/using-mahout-with-python-via-jpype.html">Using Mahout (Map Reduce) with Python via Jpype</a></li>
+ </ul>
+ </div>
</div>
</div>
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/_includes/navbar.html
----------------------------------------------------------------------
diff --git a/website/docs/_includes/navbar.html b/website/docs/_includes/navbar.html
index df2c6c5..1d398e3 100644
--- a/website/docs/_includes/navbar.html
+++ b/website/docs/_includes/navbar.html
@@ -53,25 +53,21 @@
<li id="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Algorithms<span class="caret"></span></a>
<ul class="dropdown-menu">
- <li><span><b> Distributed Linear Algebra</b><span></li>
- <li><a href="{{ BASE_PATH}}/algorithms/linear-algebra/d-ssvd.html">Distributed SVD</a></li>
- <li><a href="{{ BASE_PATH}}/algorithms/linear-algebra/d-spca.html">Distributed PCA</a></li>
- <li><a href="{{ BASE_PATH}}/algorithms/linear-algebra/d-qr.html">Distributed QR-Decomposition </a></li>
- <li><a href="{{ BASE_PATH}}/algorithms/linear-algebra/d-als.html">Distributed ALS</a></li>
+ <li><a href="{{ BASE_PATH}}/algorithms/linear-algebra">Distributed Linear Algebra</a></li>
+ <li><a href="{{ BASE_PATH}}/algorithms/preprocessors">Preprocessors</a></li>
+ <li><a href="{{ BASE_PATH}}/algorithms/regression">Regression</a></li>
+ <li><a href="{{ BASE_PATH}}/algorithms/reccomenders">Reccomenders</a></li>
<li role="separator" class="divider"></li>
- <li><span><b> Regression </b><span></li>
- <li><a href="{{ BASE_PATH}}/algorithms/regression/ols.html">Ordinary Least Squares</a></li>
- <li><a href="{{ BASE_PATH}}/algorithms/regression/cochrane-orcutt.html">Cochrane-Orcutt Procedure</a></li>
- <li role="separator" class="divider"></li>
- <li><span><b> Preprocessors</b><span></li>
- <li><a href="{{ BASE_PATH}}/algorithms/preprocessors/AsFactor.html">AsFactor (a.k.a. "one-hot encoding")</a></li>
- <li role="separator" class="divider"></li>
- <li><span><b> Reccomenders</b><span></li>
+ <li><a href="{{ BASE_PATH }}/algorithms/map-reduce">MapReduce <i>(deprecated)</i></a></li>
+ </ul>
<!--<li><a href="{{ BASE_PATH}}/algorithms/reccomenders/recommender-overview.html">Reccomender Overview</a></li> Do we still need? seems like short version of next post-->
+ <!--
<li><a href="{{ BASE_PATH}}/algorithms/reccomenders/intro-cooccurrence-spark.html">Intro to Coocurrence With Spark</a></li>
<li role="separator" class="divider"></li>
<li><span> <a href="{{ BASE_PATH }}/algorithms/map-reduce"><b>MapReduce</b> (deprecated)</a><span></li>
- </ul>
+
+
+ -->
</li>
<!-- Scala Docs -->
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/algorithms/linear-algebra/index.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/linear-algebra/index.md b/website/docs/algorithms/linear-algebra/index.md
index e69de29..e42978a 100644
--- a/website/docs/algorithms/linear-algebra/index.md
+++ b/website/docs/algorithms/linear-algebra/index.md
@@ -0,0 +1,16 @@
+---
+layout: algorithm
+
+title: Distributed Linear Algebra
+theme:
+ name: retro-mahout
+---
+
+Mahout has a number of distributed linear algebra "algorithms" that, in concert with the mathematically expressive R-Like Scala DSL, make it possible for users to quickly "roll their own" distributed algorithms.
+
+[Distributed QR Decomposition](d-qr.html)
+
+[Distributed Stochastic Principal Component Analysis](d-spca.html)
+
+[Distributed Stochastic Singular Value Decomposition](d-ssvd.html)
+
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/algorithms/regression/fittness-tests.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/fittness-tests.md b/website/docs/algorithms/regression/fittness-tests.md
index e69de29..1bd8984 100644
--- a/website/docs/algorithms/regression/fittness-tests.md
+++ b/website/docs/algorithms/regression/fittness-tests.md
@@ -0,0 +1,17 @@
+---
+layout: algorithm
+title: Regression Fitness Tests
+theme:
+ name: mahout2
+---
+
+TODO: Fill this out!
+Stub
+
+### About
+
+### Parameters
+
+### Example
+
+
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/algorithms/regression/index.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/index.md b/website/docs/algorithms/regression/index.md
index e69de29..3639c4f 100644
--- a/website/docs/algorithms/regression/index.md
+++ b/website/docs/algorithms/regression/index.md
@@ -0,0 +1,21 @@
+---
+layout: algorithm
+
+title: Regressoin Algorithms
+theme:
+ name: retro-mahout
+---
+
+Apache Mahout implements the following regression algorithms "off the shelf".
+
+### Closed Form Solutions
+
+These methods used close form solutions (not stochastic) to solve regression problems
+
+[Ordinary Least Squares](ols.html)
+
+### Autocorrelation Regression
+
+Serial Correlation of the error terms can lead to biased estimates of regression parameters, the following remedial procedures are provided:
+
+[Cochrane Orcutt Procedure](cochrane-orcutt.html)
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/algorithms/regression/ols.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/ols.md b/website/docs/algorithms/regression/ols.md
index 5c16d1f..58c74c5 100644
--- a/website/docs/algorithms/regression/ols.md
+++ b/website/docs/algorithms/regression/ols.md
@@ -5,5 +5,62 @@ theme:
name: mahout2
---
-TODO: Fill this out!
-Stub
\ No newline at end of file
+### About
+
+The `OrinaryLeastSquares` regressor in Mahout implements a _closed-form_ solution to [Ordinary Least Squares](https://en.wikipedia.org/wiki/Ordinary_least_squares).
+This is in stark contrast to many "big data machine learning" frameworks which implement a _stochastic_ approach. From the users perspecive this difference can be reduced to:
+
+- **_Stochastic_**- A series of guesses at a line line of best fit.
+- **_Closed Form_**- A mathimatical approach has been explored, the properties of the parameters are well understood, and problems which arise (and the remedial measures), exist. This is usually the preferred choice of mathematicians/statisticians, but computational limititaions have forced us to resort to SGD.
+
+### Parameters
+
+<div class="table-striped">
+ <table class="table">
+ <tr>
+ <th>Parameter</th>
+ <th>Description</th>
+ <th>Default Value</th>
+ </tr>
+ <tr>
+ <td><code>'calcCommonStatistics</code></td>
+ <td>Calculate commons statistics such as Coeefficient of Determination and Mean Square Error</td>
+ <td><code>true</code></td>
+ </tr>
+ <tr>
+ <td><code>'calcStandardErrors</code></td>
+ <td>Calculate the standard errors (and subsequent "t-scores" and "p-values") of the \(\boldsymbol{\beta}\) estimates</td>
+ <td><code>true</code></td>
+ </tr>
+ <tr>
+ <td><code>'addIntercept</code></td>
+ <td>Add an intercept to \(\mathbf{X}\)</td>
+ <td><code>true</code></td>
+ </tr>
+ </table>
+</div>
+
+### Example
+
+In this example we disable the "calculate common statistics" parameters, so our summary will NOT contain the coefficient of determination (R-squared) or Mean Square Error
+```scala
+import org.apache.mahout.math.algorithms.regression.OrdinaryLeastSquares
+
+val drmData = drmParallelize(dense(
+ (2, 2, 10.5, 10, 29.509541), // Apple Cinnamon Cheerios
+ (1, 2, 12, 12, 18.042851), // Cap'n'Crunch
+ (1, 1, 12, 13, 22.736446), // Cocoa Puffs
+ (2, 1, 11, 13, 32.207582), // Froot Loops
+ (1, 2, 12, 11, 21.871292), // Honey Graham Ohs
+ (2, 1, 16, 8, 36.187559), // Wheaties Honey Gold
+ (6, 2, 17, 1, 50.764999), // Cheerios
+ (3, 2, 13, 7, 40.400208), // Clusters
+ (3, 3, 13, 4, 45.811716)), numPartitions = 2)
+
+
+val drmX = drmData(::, 0 until 4)
+val drmY = drmData(::, 4 until 5)
+
+val model = new OrdinaryLeastSquares[Int]().fit(drmX, drmY, 'calcCommonStatistics → false)
+println(model.summary)
+```
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md b/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md
index a88a0a0..78bff65 100644
--- a/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md
+++ b/website/docs/algorithms/regression/serial-correlation/cochrane-orcutt.md
@@ -4,6 +4,13 @@ title: Cochrane-Orcutt Procedure
theme:
name: mahout2
---
-
TODO: Fill this out!
-Stub
\ No newline at end of file
+Stub
+
+### About
+
+### Parameters
+
+### Example
+
+
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/algorithms/regression/serial-correlation/dw-test.md
----------------------------------------------------------------------
diff --git a/website/docs/algorithms/regression/serial-correlation/dw-test.md b/website/docs/algorithms/regression/serial-correlation/dw-test.md
index e69de29..64ca831 100644
--- a/website/docs/algorithms/regression/serial-correlation/dw-test.md
+++ b/website/docs/algorithms/regression/serial-correlation/dw-test.md
@@ -0,0 +1,18 @@
+---
+layout: algorithm
+title: Durbin-Watson Test
+theme:
+ name: mahout2
+---
+
+stub
+TODO: Fill this out!
+Stub
+
+### About
+
+### Parameters
+
+### Example
+
+
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/tutorials/cco-lastfm/cco-lastfm.scala
----------------------------------------------------------------------
diff --git a/website/docs/tutorials/cco-lastfm/cco-lastfm.scala b/website/docs/tutorials/cco-lastfm/cco-lastfm.scala
index dc99d57..6ba46a9 100644
--- a/website/docs/tutorials/cco-lastfm/cco-lastfm.scala
+++ b/website/docs/tutorials/cco-lastfm/cco-lastfm.scala
@@ -1,41 +1,35 @@
-
-/**
- * Created by rawkintrevo on 4/5/17.
- */
-
-// Only need these to intelliJ doesn't whine
-
-import org.apache.mahout.drivers.ItemSimilarityDriver.parser
-import org.apache.mahout.math._
-import org.apache.mahout.math.scalabindings._
-import org.apache.mahout.math.drm._
-import org.apache.mahout.math.scalabindings.RLikeOps._
-import org.apache.mahout.math.drm.RLikeDrmOps._
-import org.apache.mahout.sparkbindings._
-import org.apache.spark.SparkContext
-import org.apache.spark.SparkContext._
-import org.apache.spark.SparkConf
-val conf = new SparkConf().setAppName("Simple Application")
-val sc = new SparkContext(conf)
-
-implicit val sdc: org.apache.mahout.sparkbindings.SparkDistributedContext = sc2sdc(sc)
-
-
-// </pandering to intellij>
-
-// http://files.grouplens.org/datasets/hetrec2011/hetrec2011-lastfm-2k.zip
-// start mahout shell like this: $MAHOUT_HOME/bin/mahout spark-shell
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+*/
+
+/*
+ * Download data from: http://files.grouplens.org/datasets/hetrec2011/hetrec2011-lastfm-2k.zip
+ * then run this in the mahout shell.
+ */
import org.apache.mahout.sparkbindings.indexeddataset.IndexedDatasetSpark
// We need to turn our raw text files into RDD[(String, String)]
-val userTagsRDD = sc.textFile("/home/rawkintrevo/gits/MahoutExamples/data/lastfm/user_taggedartists.dat").map(line => line.split("\t")).map(a => (a(0), a(2))).filter(_._1 != "userID")
+val userTagsRDD = sc.textFile("/path/to/lastfm/user_taggedartists.dat").map(line => line.split("\t")).map(a => (a(0), a(2))).filter(_._1 != "userID")
val userTagsIDS = IndexedDatasetSpark.apply(userTagsRDD)(sc)
-val userArtistsRDD = sc.textFile("/home/rawkintrevo/gits/MahoutExamples/data/lastfm/user_artists.dat").map(line => line.split("\t")).map(a => (a(0), a(1))).filter(_._1 != "userID")
+val userArtistsRDD = sc.textFile("/path/to/lastfm/user_artists.dat").map(line => line.split("\t")).map(a => (a(0), a(1))).filter(_._1 != "userID")
val userArtistsIDS = IndexedDatasetSpark.apply(userArtistsRDD)(sc)
-val userFriendsRDD = sc.textFile("/home/rawkintrevo/gits/MahoutExamples/data/lastfm/user_friends.dat").map(line => line.split("\t")).map(a => (a(0), a(1))).filter(_._1 != "userID")
+val userFriendsRDD = sc.textFile("/path/to/data/lastfm/user_friends.dat").map(line => line.split("\t")).map(a => (a(0), a(1))).filter(_._1 != "userID")
val userFriendsIDS = IndexedDatasetSpark.apply(userFriendsRDD)(sc)
import org.apache.mahout.math.cf.SimilarityAnalysis
@@ -44,8 +38,8 @@ val artistReccosLlrDrmListByArtist = SimilarityAnalysis.cooccurrencesIDSs(Array(
// Anonymous User
-val artistMap = sc.textFile("/home/rawkintrevo/gits/MahoutExamples/data/lastfm/artists.dat").map(line => line.split("\t")).map(a => (a(1), a(0))).filter(_._1 != "name").collect.toMap
-val tagsMap = sc.textFile("/home/rawkintrevo/gits/MahoutExamples/data/lastfm/tags.dat").map(line => line.split("\t")).map(a => (a(1), a(0))).filter(_._1 != "tagValue").collect.toMap
+val artistMap = sc.textFile("/path/to/lastfm/artists.dat").map(line => line.split("\t")).map(a => (a(1), a(0))).filter(_._1 != "name").collect.toMap
+val tagsMap = sc.textFile("/path/to/lastfm/tags.dat").map(line => line.split("\t")).map(a => (a(1), a(0))).filter(_._1 != "tagValue").collect.toMap
// Watch your skin- you're not wearing armour. (This will fail on misspelled artists
// This is neccessary because the ids are integer-strings already, and for this demo I didn't want to chance them to Integer types (bc more often you'll have strings).
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/tutorials/mahout-in-zeppelin/index.md
----------------------------------------------------------------------
diff --git a/website/docs/tutorials/mahout-in-zeppelin/index.md b/website/docs/tutorials/mahout-in-zeppelin/index.md
index e69de29..6362c30 100644
--- a/website/docs/tutorials/mahout-in-zeppelin/index.md
+++ b/website/docs/tutorials/mahout-in-zeppelin/index.md
@@ -0,0 +1,276 @@
+---
+layout: tutorial
+title: Visualizing Mahout in Zeppelin
+theme:
+ name: mahout2
+---
+
+
+The [Apache Zeppelin](http://zeppelin.apache.org) is an exciting notebooking tool, designed for working with Big Data
+applications. It comes with great integration for graphing in R and Python, supports multiple langauges in a single
+notebook (and facilitates sharing of variables between interpreters), and makes working with Spark and Flink in an interactive environment (either locally or in cluster mode) a
+breeze. Of course, it does lots of other cool things too- but those are the features we're going to take advantage of.
+
+### Step1: Download and Install Zeppelin
+
+Zeppelin binaries by default use Spark 2.1 / Scala 2.11, until Mahout puts out Spark 2.1/Scala 2.11 binaries you have
+two options.
+
+#### Option 1: Build Mahout for Spark 2.1/Scala 2.11
+
+**Build Mahout**
+
+Follow the standard procedures for building Mahout, except manually set the Spark and Scala versions - the easiest way being:
+
+ git clone http://github.com/apache/mahout
+ cd mahout
+ mvn clean package -Dspark.version=2.1.0 -Dscala.version=2.11.8 -Dscala.compat.version=2.11 -DskipTests
+
+
+**Download Zeppelin**
+
+ cd /a/good/place/to/install/
+ wget http://apache.mirrors.tds.net/zeppelin/zeppelin-0.7.1/zeppelin-0.7.1-bin-all.tgz
+ tar -xzf zeppelin-0.7.1-bin-all.tgz
+ cd zeppelin*
+ bin/zeppelin-daemon.sh start
+
+And that's it. Open a web browser and surf to [http://localhost:8080](http://localhost:8080)
+
+Proceed to Step 2.
+
+#### Option2: Build Zeppelin for Spark 1.6/Scala 2.10
+
+We'll use Mahout binaries from Maven, so all you need to do is clone, and build Zeppelin-
+
+ git clone http://github.com/apache/zeppelin
+ cd zeppelin
+ mvn clean package -Pspark1.6 -Pscala2.10 -DskipTests
+
+After it builds successfully...
+
+ bin/zeppelin-daemon.sh start
+
+And that's it. Open a web browser and surf to [http://localhost:8080](http://localhost:8080)
+
+### Step2: Create the Mahout Spark Interpreter
+
+After opening your web browser and surfing to [http://localhost:8080](http://localhost:8080), click on the `Anonymous`
+button on the top right corner, which will open a drop down. Then click `Interpreter`.
+
+
+
+At the top right, just below the blue nav bar- you will see two buttons, "Repository" and "+Create". Click on "+Create"
+
+The following screen should appear.
+
+
+
+In the **Interpreter Name** enter `mahoutSpark` (you can name it whatever you like, but this is what we'll assume you've
+named it later in the tutorial)
+
+In the **Interpreter group** drop down, select `spark`. A bunch of other settings will now auto-populate.
+
+Scroll to the bottom of the **Properties** list. In the last row, you'll see two blank boxes.
+
+Add the following properies by clicking the "+" button to the right.
+
+<div class="table-striped">
+<table class="table">
+ <tr>
+ <th>name</th>
+ <th>value</th>
+ </tr>
+ <tr>
+ <td>spark.kryo.referenceTracking</td>
+ <td>false</td>
+ </tr>
+ <tr>
+ <td>spark.kryo.registrator</td>
+ <td>org.apache.mahout.sparkbindings.io.MahoutKryoRegistrator</td>
+ </tr>
+ <tr>
+ <td>spark.kryoserializer.buffer</td>
+ <td>32</td>
+ </tr>
+ <tr>
+ <td>spark.kryoserializer.buffer.max</td>
+ <td>600m</td>
+ </tr>
+ <tr>
+ <td>spark.serializer</td>
+ <td>org.apache.spark.serializer.KryoSerializer</td>
+ </tr>
+</table>
+</div>
+
+### Step 3: Add Dependendencies
+You'll also need to add the following **Dependencies**.
+
+#### If you chose Option1 in Step 1:
+
+Where `/path/to/mahout` is the path to the directory where you've built mahout.
+
+<div class="table-striped">
+<table class="table">
+ <tr>
+ <th>artifact</th>
+ <th>exclude</th>
+ </tr>
+ <tr>
+ <td>/path/to/mahout/mahout-math-0.13.0.jar</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td>/path/to/mahout/mahout-math-scala_2.11-0.13.0.jar</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td>/path/to/mahout/mahout-spark_2.11-0.13.0.jar</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td>/path/to/mahout/mahout-spark_2.11-0.13.0-dependeny-reduced.jar</td>
+ <td></td>
+ </tr>
+</table>
+</div>
+
+#### If you chose Option2 in Step 1:
+
+<div class="table-striped">
+<table class="table">
+ <tr>
+ <th>artifact</th>
+ <th>exclude</th>
+ </tr>
+ <tr>
+ <td>org.apache.mahout:mahout-math:0.13.0</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td>org.apache.mahout:mahout-math-scala_2.10:0.13.0</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td>org.apache.mahout:mahout-spark_2.10:0.13.0</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td>org.apache.mahout:mahout-native-viennacl-omp_2.10:0.13.0</td>
+ <td></td>
+ </tr>
+
+</table>
+</div>
+
+
+_**OPTIONALLY**_ You can add **one** of the following artifacts for CPU/GPU acceleration.
+
+<div class="table-striped">
+<table class="table">
+ <tr>
+ <th>artifact</th>
+ <th>exclude</th>
+ <th>type of native solver</th>
+ </tr>
+ <tr>
+ <td>org.apache.mahout:mahout-native-viennacl_2.10:0.13.0</td>
+ <td></td>
+ <td>ViennaCL GPU Accelerated</td>
+ </tr>
+ <tr>
+ <td>org.apache.mahout:mahout-native-viennacl-omp_2.10:0.13.0</td>
+ <td></td>
+ <td>ViennaCL-OMP CPU Accelerated (use this if you don't have a good graphics card)</td>
+ </tr>
+</table>
+</div>
+
+Make sure to click "Save" and you're all set.
+
+### Step 4. Rock and Roll.
+
+Mahout in Zeppelin, unlike the Mahout Shell, won't take care of importing the Mahout libraries or creating the
+`MahoutSparkContext`, we need to do that manually. This is easy though. When ever you start Zeppelin (or restart) the
+Mahout interpreter, you'll need to run the following code first:
+
+ %sparkMahout
+
+ import org.apache.mahout.math._
+ import org.apache.mahout.math.scalabindings._
+ import org.apache.mahout.math.drm._
+ import org.apache.mahout.math.scalabindings.RLikeOps._
+ import org.apache.mahout.math.drm.RLikeDrmOps._
+ import org.apache.mahout.sparkbindings._
+
+ implicit val sdc: org.apache.mahout.sparkbindings.SparkDistributedContext = sc2sdc(sc)
+
+
+At this point, you have a Zeppelin Interpreter which will behave like the `$MAHOUT_HOME/bin/mahout spark-shell`
+
+Except, much much more.
+
+At the begining I mentioned a few important features of Zeppelin, that we could leverage to use Zeppelin for visualizatoins.
+
+#### Example 1: Visualizing a Matrix (Sample)
+
+In Mahout we can use `Matrices.symmetricUniformView` to create a Gaussian Matrix.
+
+We can use `.mapBlock` and some clever code to create a 3D Gausian Matrix.
+
+We can use `.drmSampleToTsv` to take a sample of the matrix and turn it in to a tab seperated string. We take a sample of
+ the matrix because, since we are dealing with "big" data, we wouldn't want to try to collect and plot the entire matrix,
+ however, IF we knew we had a small matrix and we DID want to sample the entire thing, then we could sample `100.0` e.g. 100%.
+
+Finally we use `z.put(...)` to put a variable into Zeppelin's `ResourcePool` a block of memory shared by all interpreters.
+
+
+ %sparkMahout
+
+ val mxRnd3d = Matrices.symmetricUniformView(5000, 3, 1234)
+ val drmRand3d = drmParallelize(mxRnd3d)
+
+ val drmGauss = drmRand3d.mapBlock() {case (keys, block) =>
+ val blockB = block.like()
+ for (i <- 0 until block.nrow) {
+ val x: Double = block(i, 0)
+ val y: Double = block(i, 1)
+ val z: Double = block(i, 2)
+
+ blockB(i, 0) = x
+ blockB(i, 1) = y
+ blockB(i, 2) = Math.exp(-((Math.pow(x, 2)) + (Math.pow(y, 2)))/2)
+ }
+ keys -> blockB
+ }
+
+ resourcePool.put("gaussDrm", drm.drmSampleToTSV(drmGauss, 50.0))
+
+Here we sample 50% of the matrix and put it in the `ResourcePool` under a variable named "gaussDrm".
+
+Now, for the exciting part. Scala doesn't have a lot of great graphing utilities. But you know who does? R and Python. So
+instead of trying to akwardly visualize our data using Scala, let's just use R and Python.
+
+We start the Spark R interpreter (we do this because the regular R interpreter doesn't have access to the resource pools).
+
+We `z.get` the variable we just put in.
+
+We use R's `read.table` to read the string- this is very similar to how we would read a tsv file in R.
+
+Then we plot the data using the R `scatterplot3d` package.
+
+**Note** you may need to install `scatterplot3d`. In Ubuntu, do this with `sudo apt-get install r-cran-scatterplot3d`
+
+
+ %spark.r {"imageWidth": "400px"}
+
+ library(scatterplot3d)
+
+
+ gaussStr = z.get("gaussDrm")
+ data <- read.table(text= gaussStr, sep="\t", header=FALSE)
+
+ scatterplot3d(data, color="green")
+
+
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/docs/tutorials/mahout-in-zeppelin/zeppelin1.png
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http://git-wip-us.apache.org/repos/asf/mahout/blob/0b38f516/website/front/community/blogs.md
----------------------------------------------------------------------
diff --git a/website/front/community/blogs.md b/website/front/community/blogs.md
index 7ddd0ac..b169455 100644
--- a/website/front/community/blogs.md
+++ b/website/front/community/blogs.md
@@ -11,6 +11,11 @@ theme:
Description
-->
+### [Precanned Algorithms in Apache Mahout](https://rawkintrevo.org/2017/05/02/introducing-pre-canned-algorithms-apache-mahout/)
+**Trevor Grant** | _05/02/2017_ | rawkintrevo.org
+
+An introduction to the new Algorithms Framework
+
### [Getting Started With Apache Mahout](https://datascience.ibm.com/blog/getting-started-with-apache-mahout-2/)
**Trevor Grant** | _04/25/2017_ | datascience.ibm.com/blog