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Posted to commits@systemml.apache.org by de...@apache.org on 2017/05/19 21:47:03 UTC
[1/3] incubator-systemml-website git commit: Updates for SystemML as
TLP
Repository: incubator-systemml-website
Updated Branches:
refs/heads/master 37b9d3fd2 -> 2137dcfd3
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/get-started.html
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diff --git a/_src/get-started.html b/_src/get-started.html
index 5a75f66..6534926 100644
--- a/_src/get-started.html
+++ b/_src/get-started.html
@@ -32,257 +32,58 @@ limitations under the License.
</div>
</section> -->
-<!-- Overview-->
-<section class="full-stripe clear-header">
+<!-- Install SystemML -->
+<section class="full-stripe full-stripe--alternate">
<div class="ml-container ml-container--vertically-centered ml-container--reverse-order">
<div class="col col-6 content-group content-group--more-padding">
<img src="/assets/img/robotTutorialSm.png" alt="What is Apache SystemML?">
</div>
- <div class="col col-6 content-group content-group--more-padding">
- <h2>SystemML Beginner Tutorial</h2>
+ <div class="col col-6 content-group content-group--more-padding button-group">
+ <h2>Install SystemML</h2>
<h4><strong>Level:</strong> Beginner | <strong>Time:</strong> 20 minutes</h4><br>
- <p><bdi>How to set up and run Apache SystemML locally.</bdi></p>
+ <p>New to Apache SystemML? Try our guick install guide that will walk you through setting up your environment and getting you up and going with SystemML.</p>
<a class="button button-secondary" href="https://apache.github.io/incubator-systemml" target="_blank">Docs</a>
+ <a class="button button-primary" href="install-systemml.html">Install SystemML</a>
</div>
</div>
-</section>
-
-<!-- Tutorial Instructions -->
-<section class="full-stripe full-stripe--alternate">
-
- <!-- Section 1 -->
- <div class="ml-container content-group content-group--tutorial border">
- <!-- Section Header -->
- <div class="col col-12 content-group--medium-bottom-margin">
- <h2>Assumptions</h2>
- <p>If you haven’t run Apache SystemML before, make sure to set up your environment first.</p>
- </div>
-
- <!-- Step 1 Instructions -->
- <div class="col col-12">
- <h3><span class="circle">1</span>Install Homebrew</h3>
- </div>
-
- <!-- Step 1 Code -->
- <div class="col col-12">
-
-
- {% highlight bash %}
-/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
-# Linux
-ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Linuxbrew/install/master/install)"{% endhighlight %}
-
+ <!-- Sample Notebooks -->
+ <h2 class="text-center">Sample Notebooks</h2>
+ <div class="flex-container">
+ <div class="nb-card">
+ <h3>SystemML LinearRegCG</h3>
+ <p>SystemML Linear Regression in Zeppelin Notebook.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/zeppelin-notebooks/SystemML_LinearRegCG.json" target="_blank"><span class="icon zeppelin-logo"></span><span>View on Github</span></a>
</div>
-
- <!-- Step 2 Instructions -->
- <div class="col col-12">
- <h3><span class="circle">2</span>Install Java</h3>
+ <div class="nb-card">
+ <h3>Deep Learning Image Classification</h3>
+ <p>This notebook shows SystemML Deep Learning functionality to map images of single digit numbers to their corresponding numeric representations.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/Deep_Learning_Image_Classification.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
</div>
-
- <!-- Step 2 Code -->
- <div class="col col-12">
- {% highlight bash %}
-brew tap caskroom/cask
-brew install Caskroom/cask/java
-
-brew install python
-pip install jupyter matplotlib numpy{% endhighlight %}
+ <div class="nb-card">
+ <h3>Linear Regression Algorithms Demo</h3>
+ <p>This notebook shows: Install SystemML Python package and jar file, pip, SystemML 'Hello World'.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/Linear_Regression_Algorithms_Demo.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
</div>
- </div>
-
- <!-- Section 2 -->
- <div class="ml-container content-group content-group--tutorial border">
- <!-- Section Header -->
- <div class="col col-12 content-group--medium-bottom-margin">
- <h2>Downloads</h2>
- <p>Download Apache Spark and Apache SystemML.</p>
+ <div class="nb-card">
+ <h3>SystemML PySpark Recommendation Demo</h3>
+ <p>This demonstrates using SystemML for product recommendation using Poisson NonNegative Matrix Factorization (PNMF) with PNMF algorithm written using R like syntax.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/SystemML-PySpark-Recommendation-Demo.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
</div>
-
- <!-- Step 3 Instructions -->
- <div class="col col-12">
- <h3><span class="circle">3</span>Download and Install Apache Spark</h3>
+ <div class="nb-card">
+ <h3>SystemML Scala Tutorial</h3>
+ <p>This tutorial includes simple example to run DML script and display output.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/tutorial1.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
</div>
-
- <!-- Step 3 Code -->
- <div class="col col-12">
- {% highlight bash %}
-brew tap homebrew/versions
-brew install apache-spark{% endhighlight %}
-
- <p> Alternatively, you can <a href="http://spark.apache.org/downloads.html">download Apache Spark</a> directly. </p>
+ <div class="nb-card">
+ <h3>Autoencoder</h3>
+ <p>This notebook demonstrates the invocation of the SystemML autoencoder script, and alternative ways of passing in/out data.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/Autoencoder.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
</div>
-
- <!-- Step 4 Instructions -->
- <div class="col col-12">
- <h3><span class="circle">4</span>Download and Install Apache SystemML</h3>
+ <div class="nb-card">
+ <h3>SystemML Zeppelin Tutorial</h3>
+ <p>SystemML Zeppelin tutorial.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/zeppelin-notebooks/tutorial1_zeppelin.json" target="_blank"><span class="icon zeppelin-logo"></span><span>View on Github</span></a>
</div>
- <!-- Step 4 Code -->
- <div class="col col-12">
-
- <p>
- If you are a python user, we recommend that you download and install Apache SystemML via pip:
- </p>
- {% highlight bash %}
-# Python 2
-pip install systemml
-# Bleeding edge: pip install git+git://github.com/apache/incubator-systemml.git#subdirectory=src/main/python{% endhighlight %}
-
- {% highlight bash %}
-# Python 3:
-pip3 install systemml
-# Bleeding edge: pip3 install git+git://github.com/apache/incubator-systemml.git#subdirectory=src/main/python{% endhighlight %}
-
-
-
- <p>
- Alternatively, if you intend to use SystemML via spark-shell (or spark-submit), you only need systemml-{{ site.data.project.release_version }}.jar, which is packaged into our official binary release (<a href="http://www.apache.org/dyn/closer.lua/incubator/systemml/{{ site.data.project.release_version }}/systemml-{{ site.data.project.release_version }}-bin.zip" target="_blank">systemml-{{ site.data.project.release_version }}-bin.zip</a>).
- Note: If you have installed SystemML via pip, you can get the location of this jar by executing following command:
- </p>
- {% highlight bash %}
-python -c 'import imp; import os; print os.path.join(imp.find_module("systemml")[1], "systemml-java")'{% endhighlight %}
-
- <p>
- Note - For Spark 1.6 users only, include a version specifier to download and install compatible Apache SystemML via pip:
- </p>
- {% highlight bash %}
-# For Spark 1.6 users with Python 2:
-pip install "systemml<0.13.0"
-{% endhighlight %}
-
- </div>
-
- <!-- Section 3 -->
- <div class="ml-container content-group content-group--tutorial">
- <!-- Section Header -->
- <div class="col col-12 content-group--medium-bottom-margin">
- <h2>Ways to Use</h2>
- <p>You can use SystemML in one of the following ways:</p>
- <ol>
- <li>On Cluster (using our programmatic APIs):
- <ul>
- <li>Using pyspark: Please see our <a href="http://apache.github.io/incubator-systemml/beginners-guide-python">beginner's guide for python users</a>.</li>
- <li>Using Jupyter: Described below in step 5.</li>
- <li>Using spark-shell: Described below in step 6.</li>
- </ul>
- </li>
-
- <li>On Cluster (command-line batch mode):
- <ul>
- <li>Using spark-submit: Please see our <a href="http://apache.github.io/incubator-systemml/spark-batch-mode">spark batch mode tutorial</a>.</li>
- <li>Using hadoop: Please see our <a href="http://apache.github.io/incubator-systemml/hadoop-batch-mode">hadoop batch model tutorial</a>.</li>
- </ul>
- </li>
-
- <li>On laptop (command-line batch mode) without installing Spark or Hadoop: Please see our <a href="http://apache.github.io/incubator-systemml/standalone-guide">standalone mode tutorial</a>.</li>
-
- <li>In-memory mode (as part of another Java application for scoring): Please see our <a href="http://apache.github.io/incubator-systemml/jmlc">JMLC tutorial</a>.</li>
- </ol>
-
- <p>
- Note that you can also run pyspark, spark-shell, spark-submit on you laptop using "--master local[*]" parameter.
- </p>
- </div>
-
- <!-- Step 5 Instructions -->
- <div class="col col-12">
- <h3><span class="circle">5</span>In Jupyter Notebook</h3>
- </div>
-
- <!-- Step 5 Code -->
- <div class="col col-12">
- <h4>Get Started</h4>
- <p>Start up your Jupyter notebook by moving to the folder where you saved the notebook. Then copy and paste the line below:</p>
- {% highlight python %}
-# Python 2:
-PYSPARK_DRIVER_PYTHON=jupyter PYSPARK_DRIVER_PYTHON_OPTS="notebook" pyspark --master local[*] --driver-class-path SystemML.jar --jars SystemML.jar--conf "spark.driver.memory=12g" --conf spark.driver.maxResultSize=0 --conf spark.akka.frameSize=128 --conf spark.default.parallelism=100{% endhighlight %}
- {% highlight python %}
-# Python 3:
-PYSPARK_PYTHON=python3 PYSPARK_DRIVER_PYTHON=jupyter PYSPARK_DRIVER_PYTHON_OPTS="notebook" pyspark --master local[*] --driver-class-path SystemML.jar --jars SystemML.jar --conf "spark.driver.memory=12g" --conf spark.driver.maxResultSize=0 --conf spark.akka.frameSize=128 --conf spark.default.parallelism=100{% endhighlight %}
-
- </div>
-
- <!-- Step 6 Instructions -->
- <div class="col col-12">
- <h3><span class="circle">6</span>To Run SystemML in the Spark Shell</h3>
- </div>
-
- <!-- Step 6 Code -->
- <div class="col col-12">
- <h4>Start Spark Shell with SystemML</h4>
- <p> To use SystemML with Spark Shell, the SystemML jar can be referenced using Spark Shell’s --jars option. Start the Spark Shell with SystemML with the following line of code in your terminal:</p>
- {% highlight bash %}
-spark-shell --executor-memory 4G --driver-memory 4G --jars SystemML.jar{% endhighlight %}
- <!-- <pre><code>spark-shell --executor-memory 4G --driver-memory 4G --jars SystemML.jar</code></pre> -->
- <h4>Create the MLContext</h4>
- <p>To begin, start an MLContext by typing the code below. Once successful, you should see a “Welcome to Apache SystemML!” message.</p>
- {% highlight bash %}
-import org.apache.sysml.api.mlcontext._
-import org.apache.sysml.api.mlcontext.ScriptFactory._
-val ml = new MLContext(sc){% endhighlight %}
-
- <h4>Hello World</h4>
- <p>The ScriptFactory class allows DML and PYDML scripts to be created from Strings, Files, URLs, and InputStreams. Here, we’ll use the dmlmethod to create a DML “hello world” script based on a String. We execute the script using MLContext’s execute method, which displays “hello world” to the console. The execute method returns an MLResults object, which contains no results since the script has no outputs.</p>
- {% highlight python %}
-val helloScript = dml("print('hello world')")
-ml.execute(helloScript){% endhighlight %}
- <h4>DataFrame Example</h4>
- <p>As an example of how to use SystemML, we’ll first use Spark to create a DataFrame called df of random doubles from 0 to 1 consisting of 10,000 rows and 1,000 columns.</p>
- {% highlight python %}
-import org.apache.spark.sql._
-import org.apache.spark.sql.types.{StructType,StructField,DoubleType}
-import scala.util.Random
-val numRows = 10000
-val numCols = 1000
-val data = sc.parallelize(0 to numRows-1).map { _ => Row.fromSeq(Seq.fill(numCols)(Random.nextDouble)) }
-val schema = StructType((0 to numCols-1).map { i => StructField("C" + i, DoubleType, true) } )
-val df = sqlContext.createDataFrame(data, schema){% endhighlight %}
-
- <p>We’ll create a DML script using the ScriptFactory dml method to find the minimum, maximum, and mean values in a matrix. This script has one input variable, matrix Xin, and three output variables, minOut, maxOut, and meanOut.
-For performance, we’ll specify metadata indicating that the matrix has 10,000 rows and 1,000 columns.
-We execute the script and obtain the results as a Tuple by calling getTuple on the results, specifying the types and names of the output variables.</p>
- {% highlight python %}
-val minMaxMean =
-"""
-minOut = min(Xin)
-maxOut = max(Xin)
-meanOut = mean(Xin)
-"""
-val mm = new MatrixMetadata(numRows, numCols)
-val minMaxMeanScript = dml(minMaxMean).in("Xin", df, mm).out("minOut", "maxOut", "meanOut")
-val (min, max, mean) = ml.execute(minMaxMeanScript).getTuple[Double, Double, Double]("minOut", "maxOut", "meanOut"){% endhighlight %}
- <p>Many different types of input and output variables are automatically allowed. These types include Boolean, Long, Double, String, Array[Array[Double]], RDD<String> and JavaRDD<String> in CSV (dense) and IJV (sparse) formats, DataFrame, BinaryBlockMatrix,Matrix, and Frame. RDDs and JavaRDDs are assumed to be CSV format unless MatrixMetadata is supplied indicating IJV format.</p>
- <h4>RDD Example:</h4>
- <p>Let’s take a look at an example of input matrices as RDDs in CSV format. We’ll create two 2x2 matrices and input these into a DML script. This script will sum each matrix and create a message based on which sum is greater. We will output the sums and the message.</p>
- {% highlight python %}
-val rdd1 = sc.parallelize(Array("1.0,2.0", "3.0,4.0"))
-val rdd2 = sc.parallelize(Array("5.0,6.0", "7.0,8.0"))
-val sums = """
-s1 = sum(m1);
-s2 = sum(m2);
-if (s1 > s2) {
-message = "s1 is greater"
-} else if (s2 > s1) {
-message = "s2 is greater"
-} else {
-message = "s1 and s2 are equal"
-}
-"""
-scala.tools.nsc.io.File("sums.dml").writeAll(sums)
-val sumScript = dmlFromFile("sums.dml").in(Map("m1"-> rdd1, "m2"-> rdd2)).out("s1", "s2", "message")
-val sumResults = ml.execute(sumScript)
-val s1 = sumResults.getDouble("s1")
-val s2 = sumResults.getDouble("s2")
-val message = sumResults.getString("message")
-val rdd1Metadata = new MatrixMetadata(2, 2)
-val rdd2Metadata = new MatrixMetadata(2, 2)
-val sumScript = dmlFromFile("sums.dml").in(Seq(("m1", rdd1, rdd1Metadata), ("m2", rdd2, rdd2Metadata))).out("s1", "s2", "message")
-val (firstSum, secondSum, sumMessage) = ml.execute(sumScript).getTuple[Double, Double, String]("s1", "s2", "message"){% endhighlight %}
- <p>Congratulations! You’ve now run examples in Apache SystemML!</p>
- </div>
</div>
-
-
-
-
</section>
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/install-systemml.html
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diff --git a/_src/install-systemml.html b/_src/install-systemml.html
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--- /dev/null
+++ b/_src/install-systemml.html
@@ -0,0 +1,169 @@
+---
+layout: page
+title: Get Started
+description: Get-Started Page
+group: nav-right
+---
+<!--
+{% comment %}
+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.
+{% endcomment %}
+-->
+
+<!-- Hero -->
+<!-- <section class="full-stripe full-stripe--subpage-header clear-header">
+ <div class="ml-container ml-container--horizontally-center">
+ <div class="col col-12 content-group">
+ <h1>Tutorials</h1>
+ </div>
+ </div>
+</section> -->
+
+
+<!-- Tutorial Instructions -->
+<section class="full-stripe full-stripe--alternate">
+
+ <!-- Section 1 -->
+ <div class="ml-container content-group content-group--tutorial border">
+ <!-- Section Header -->
+ <div class="col col-12 content-group--medium-bottom-margin">
+ <h2>Install SystemML</h2>
+ </div>
+
+ <!-- Step 1 Instructions -->
+ <div class="col col-12">
+ <h3><span class="circle">1</span>Pre-requisite</h3>
+ </div>
+
+ <!-- Step 1 Code -->
+ <div class="col col-12">
+
+ <p class="indent">Apache Spark 2.x</p>
+ <p class="indent">Set SPARK_HOME to a location where Spark 2.x has installed.</p>
+
+ </div>
+
+ <!-- Step 2 Instructions -->
+ <div class="col col-12">
+ <h3><span class="circle">2</span>Setup</h3>
+ </div>
+
+ <!-- Step 2 Code -->
+ <ul class="ml-tabs">
+ <li class="tab-link current" data-tab="tab-1">Python</li>
+ <li class="tab-link" data-tab="tab-2">Scala</li>
+ <li class="tab-link" data-tab="tab-3">Dev Python (Latest code)</li>
+ <li class="tab-link" data-tab="tab-4">Dev Scala (Latest code)</li>
+ </ul>
+
+ <div id="tab-1" class="col col-12 tab-content current">
+ {% highlight bash %}
+ # Install SystemML
+ pip install systemml
+ {% endhighlight %}
+ </code>
+ </div>
+ <div id="tab-2" class="col col-12 tab-content">
+ <pre>Download and extract SystemML jar (systemml-0.14.0-incubating-SNAPSHOT.jar) file from systemml-0.14.0-incubating-bin.tgz or systemml-0.14.0-incubating-bin.tgz file located on <a href="https://dist.apache.org/repos/dist/release/incubator/systemml/0.14.0-incubating/">https://dist.apache.org/repos/dist/release/incubator/systemml/0.14.0-incubating/</a></pre>
+ </div>
+ <div id="tab-3" class="col col-12 tab-content">
+ {% highlight bash %}# Install latest SystemML
+pip install https://sparktc.ibmcloud.com/repo/latest/systemml-1.0.0-incubating-SNAPSHOT-python.tgz{% endhighlight %}
+ </div>
+ <div id="tab-4" class="col col-12 tab-content">
+ <pre>Download SystemML jar (systemml-1.0.0-incubating-SNAPSHOT.jar) from <a href="https://sparktc.ibmcloud.com/repo/latest/">https://sparktc.ibmcloud.com/repo/latest/</a></pre>
+ </div>
+
+ <!-- Step 3 Instructions -->
+ <div class="col col-12">
+ <h3><span class="circle">3</span>Configure Jupyter Notebook (optional)</h3>
+ </div>
+
+ <!-- Step 3 Code -->
+ <div class="col col-12">
+ <h4 class="indent">3.1 Toree Kernel Setup (Required for Scala Kernel)</h4>
+ <p class="indent">Toree installation</p>
+ {% highlight bash %}# For detail instructions visit https://github.com/apache/incubator-toree
+pip install https://dist.apache.org/repos/dist/dev/incubator/toree/0.2.0/snapshots/dev1/toree-pip/toree-0.2.0.dev1.tar.gz{% endhighlight %}
+
+ <p class="indent">Installation of Toree component in Jupyter</p>
+ {% highlight bash %}# For detail instructions visit https://toree.apache.org/docs/current/user/installation/
+jupyter toree install —-replace —-interpreters=Scala,PySpark --spark_opts="--master=local --jars <SystemML JAR File>” --spark_home=${SPARK_HOME}{% endhighlight %}
+ <h4 class="indent">3.2 Start Jupyter Notebook Server</h4>
+ {% highlight bash %}PYSPARK_DRIVER_PYTHON=jupyter PYSPARK_DRIVER_PYTHON_OPTS="notebook" pyspark --master local[*] --conf "spark.driver.memory=12g" --conf spark.driver.maxResultSize=0 --conf spark.akka.frameSize=128 --conf spark.default.parallelism=100{% endhighlight %}
+ <p>This will a default browser with contents from current directory where above command has run.
+You can create your own notebook example or download sample notebooks from SystemML resository <a href="https://github.com/apache/incubator-systemml/tree/master/samples/jupyter-notebooks">https://github.com/apache/incubator-systemml/tree/master/samples/jupyter-notebooks</a></p>
+ <figure class="img-border"><img src="/assets/img/systemml-juypter-install.jpeg" alt="Start Jupyter Notebook Server"></figure>
+ <figure class="img-border"><img src="/assets/img/systemml-juypter-install-2.jpeg" alt="Start Jupyter Notebook Server"></figure>
+ </div>
+
+ <!-- Step 4 Instructions -->
+ <div class="col col-12">
+ <h3><span class="circle">4</span>Run SystemML in batch mode</h3>
+ </div>
+
+ <!-- Step 4 Code -->
+ <div class="col col-12">
+
+ <prev>Download systemml-0.14.0-incubating-bin.tgz or systemml-0.14.0-incubating-bin.tgz file located on <a href="https://dist.apache.org/repos/dist/release/incubator/systemml/0.14.0-incubating/">https://dist.apache.org/repos/dist/release/incubator/systemml/0.14.0-incubating/</a> and extract into a directory say SYSTEMML_HOME
+Once you extract zip.tgz file you will have files required to run steps outlined in instructions link: <a href="http://apache.github.io/incubator-systemml/spark-batch-mode">http://apache.github.io/incubator-systemml/spark-batch-mode</a></pre>
+
+ </div>
+ </div>
+
+ <h4 class="text-center"><a href="get-started.html">View Sample Notebooks</a></h4>
+
+ <h2 class="text-center">Sample Notebooks</h2>
+ <div class="flex-container">
+ <div class="nb-card">
+ <h3>SystemML LinearRegCG</h3>
+ <p>SystemML Linear Regression in Zeppelin Notebook.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/zeppelin-notebooks/SystemML_LinearRegCG.json" target="_blank"><span class="icon zeppelin-logo"></span><span>View on Github</span></a>
+ </div>
+ <div class="nb-card">
+ <h3>Deep Learning Image Classification</h3>
+ <p>This notebook shows SystemML Deep Learning functionality to map images of single digit numbers to their corresponding numeric representations.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/Deep_Learning_Image_Classification.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
+ </div>
+ <div class="nb-card">
+ <h3>Linear Regression Algorithms Demo</h3>
+ <p>This notebook shows: Install SystemML Python package and jar file, pip, SystemML 'Hello World'.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/Linear_Regression_Algorithms_Demo.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
+ </div>
+ <div class="nb-card">
+ <h3>SystemML PySpark Recommendation Demo</h3>
+ <p>This demonstrates using SystemML for product recommendation using Poisson NonNegative Matrix Factorization (PNMF) with PNMF algorithm written using R like syntax.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/SystemML-PySpark-Recommendation-Demo.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
+ </div>
+ <div class="nb-card">
+ <h3>SystemML Scala Tutorial</h3>
+ <p>This tutorial includes simple example to run DML script and display output.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/tutorial1.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
+ </div>
+ <div class="nb-card">
+ <h3>Autoencoder</h3>
+ <p>This notebook demonstrates the invocation of the SystemML autoencoder script, and alternative ways of passing in/out data.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/jupyter-notebooks/Autoencoder.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
+ </div>
+ <div class="nb-card">
+ <h3>SystemML Zeppelin Tutorial</h3>
+ <p>SystemML Zeppelin tutorial.</p>
+ <a class="nb-link" href="https://github.com/apache/incubator-systemml/blob/master/samples/zeppelin-notebooks/tutorial1_zeppelin.json" target="_blank"><span class="icon zeppelin-logo"></span><span>View on Github</span></a>
+ </div>
+
+ </div>
+
+</section>
[3/3] incubator-systemml-website git commit: Updates for SystemML as
TLP
Posted by de...@apache.org.
Updates for SystemML as TLP
Closes #53, Closes #52, Closes #51, Closes #50.
Project: http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/commit/2137dcfd
Tree: http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/tree/2137dcfd
Diff: http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/diff/2137dcfd
Branch: refs/heads/master
Commit: 2137dcfd320076c41ce610930ae5a1e5d48d5cb8
Parents: 37b9d3f
Author: Jeremy Anderson <je...@Jeremys-MacBook-Pro-3.local>
Authored: Fri May 19 14:38:41 2017 -0700
Committer: Deron Eriksson <de...@us.ibm.com>
Committed: Fri May 19 14:38:41 2017 -0700
----------------------------------------------------------------------
_src/_includes/themes/apache/home.html | 19 +-
_src/_sass/_base.scss | 9 +
_src/_sass/_config.scss | 2 +-
_src/_sass/_icons.scss | 30 +-
_src/_sass/_layout.scss | 19 ++
_src/_sass/_modules.scss | 49 ++++
_src/_scripts/main.js | 11 +
_src/assets/img/jupyter-logo.svg | 1 +
_src/assets/img/systemml-juypter-install-2.jpeg | Bin 0 -> 394780 bytes
_src/assets/img/systemml-juypter-install.jpeg | Bin 0 -> 80437 bytes
_src/assets/js/bundle.min.js | 8 +-
_src/get-started.html | 273 +++----------------
_src/install-systemml.html | 169 ++++++++++++
13 files changed, 325 insertions(+), 265 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/_includes/themes/apache/home.html
----------------------------------------------------------------------
diff --git a/_src/_includes/themes/apache/home.html b/_src/_includes/themes/apache/home.html
index 9567f77..3c177ac 100644
--- a/_src/_includes/themes/apache/home.html
+++ b/_src/_includes/themes/apache/home.html
@@ -50,7 +50,7 @@ limitations under the License.
<!-- About -->
<section class="full-stripe">
<div class="ml-container ml-container--vertically-top ml-container--reverse-order">
- <div class="col col-6 content-group content-group--more-padding">
+ <div class="col col-6 content-group">
<!--<img src="/assets/img/diagramAnim-v4.gif" alt="What is Apache SystemML?">-->
<div class="video-wrapper">
<iframe src="https://www.youtube.com/embed/r-kFYkYoD_4" frameborder="0" allowfullscreen></iframe>
@@ -59,14 +59,12 @@ limitations under the License.
<div class="col col-6 content-group content-group--more-padding">
<!-- bdi tag prevents reverse punctuation when rtl direction property is applied -->
<h2><bdi>What is SystemML?</bdi></h2>
- <p><bdi>Apache SystemML provides declarative, large-scalable machine learning and deep learning. Data scientists are able to implement algorithms and neural network architectures in a high-level language without knowledge of distributed programming or Apache Spark. Depending on data characteristics such as data size/shape and data sparsity (dense/sparse), and cluster characteristics such as cluster size and memory configurations, SystemML's cost-based optimizing compiler automatically generates hybrid runtime execution plans that are composed of single-node and distributed operations on a Apache Spark cluster for best performance.</bdi></p>
-
- <p><bdi>Very soon, additional deep learning capabilities will allow for importing and running popular neural network architectures and pre-trained models from Caffe for training and scoring in SystemML.</bdi></p>
+ <p>Apache SystemML provides an optimal workplace for machine learning using big data. It can be run on top of Apache Spark, where it automatically scales your data, line by line, determining whether your code should be run on the driver or an Apache Spark cluster. Future SystemML developments include additional deep learning with GPU capabilities such as importing and running neural network architectures and pre-trained models for training.</p>
</div>
</div>
</section>
-<!-- Beginner Tutorial -->
+<!-- BGet Started -->
<section class="full-stripe full-stripe--alternate">
<div class="ml-container ml-container--vertically-centered">
<div class="col col-6 content-group content-group--more-padding">
@@ -75,24 +73,27 @@ limitations under the License.
<div class="col col-6 content-group content-group--more-padding button-group">
<h2>Get Started</h2>
<p>New to Apache SystemML? Try our Get Started tutorial that will walk you through setting up your environment and getting you up and going with SystemML.</p>
- <a class="button button-primary" href="get-started.html">Begin Tutorial</a>
+ <a class="button button-primary" href="install-systemml.html">Install SystemML</a>
<a class="button button-secondary" href="documentation.html" target="_blank">Docs</a>
</div>
</div>
+
+ <h4 class="text-center"><a href="get-started.html">View Sample Notebooks</a></h4>
+
</section>
<!-- Contact Us -->
<section class="full-stripe">
<div class="ml-container ml-container--horizontally-center">
<div class="col col-12 content-group ">
- <h2>Subscribe to Our Mailing Lists</h2>
- <p>Subscribe to our development mailing list for SystemML updates and news. Once subscribed, <a href="mailto:{{ site.data.project.dev_list }}">join the conversation</a>.
- As SystemML grows, so will our community. Check out <a href="community.html#mailing-list">All Mailing Lists</a>.
+ <h2>Contribute</h2>
+ <p>Contribute to Apache SystemML<sup>TM</sup> by subscribing to our developer mailing list for updates and news. Check out <a href="community.html#mailing-list">All Mailing Lists</a>.
</p>
</div>
<div class="col col-12 content-group button-group">
<a href="mailto:{{ site.data.project.dev_list_subscribe }}?subject=send this email to subscribe" class="button button-primary">Subscribe</a>
<a href="http://mail-archives.apache.org/mod_mbox/incubator-systemml-dev/" target="_blank" class="button button-secondary">View Archive</a>
+ <a href="https://systemml.apache.org/roadmap" target="_blank" class="button button-secondary">Roadmap</a>
</div>
</div>
</section>
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/_sass/_base.scss
----------------------------------------------------------------------
diff --git a/_src/_sass/_base.scss b/_src/_sass/_base.scss
index f8a0f85..3fefec5 100644
--- a/_src/_sass/_base.scss
+++ b/_src/_sass/_base.scss
@@ -30,6 +30,10 @@ p {
margin: 0 0 1em 0;
}
+&.indent {
+ margin-left: 2.6em;
+}
+
pre {
padding: 2em;
background: #ffffff;
@@ -73,3 +77,8 @@ ol {
figure {
margin: 0;
}
+
+.img-border {
+ border: 1px solid #e0e0e0;
+ margin: 1em 0 2em 0;
+}
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/_sass/_config.scss
----------------------------------------------------------------------
diff --git a/_src/_sass/_config.scss b/_src/_sass/_config.scss
index e965027..26b302d 100644
--- a/_src/_sass/_config.scss
+++ b/_src/_sass/_config.scss
@@ -234,7 +234,7 @@ $button-speed--faster : all .1s ease-in-out;
// ============
$shadow-color : rgba(0, 0, 0, .1);
-$shadow-default : 0 2px 2px 0 $shadow-color; //double check this
+$shadow-default : 0px 2px 2px 0px $shadow-color; //double check this
$shadow-toggle-color : rgb(77, 144, 254);
$shadow-toggle : 0 0 5px 2px $shadow-toggle-color; // #4D90FE
$shadow-checkbox-color : rgba(77, 144, 254, .5);
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/_sass/_icons.scss
----------------------------------------------------------------------
diff --git a/_src/_sass/_icons.scss b/_src/_sass/_icons.scss
index 0416db7..77baebd 100644
--- a/_src/_sass/_icons.scss
+++ b/_src/_sass/_icons.scss
@@ -40,37 +40,37 @@
&.spark-logo {
background-image: none, url('../img/spark-logo.png');
background-size: 70px 45px;
- width: 70px; height: 55px;
+ width: 70px; height: 45px;
}
&.hadoop-logo {
background-image: none, url('../img/hadoop-logo.png');
background-size: 60px 45px;
- width: 60px; height: 55px;
+ width: 60px; height: 45px;
}
&.jupyter-logo {
- background-image: none, url('../img/jupyter-logo.png');
+ background-image: none, url('../img/jupyter-logo.svg');
background-size: 51px 55px;
width: 51px; height: 55px;
}
&.zeppelin-logo {
background-image: none, url('../img/zeppelin-logo.png');
background-size: 58px 35px;
- width: 58px; height: 55px;
+ width: 58px; height: 35px;
}
&.dsx-logo {
background-image: none, url('../img/dsx-logo.png');
background-size: 64px 27px;
- width: 64px; height: 55px;
+ width: 64px; height: 27px;
}
&.python-logo {
background-image: none, url('../img/python-logo-generic.svg');
background-size: 64px 27px;
- width: 64px; height: 55px;
+ width: 64px; height: 27px;
}
&.r-logo {
background-image: none, url('../img/r-logo.svg');
background-size: 64px 27px;
- width: 64px; height: 55px;
+ width: 64px; height: 273px;
}
&.icon-announcement {
background-image: none, url('../img/icon-announcment.svg');
@@ -79,26 +79,26 @@
}
&-youtube {
background-image: none, url('../img/icons/icon_youtube.svg');
- background-size: 60px 40px;
- width: 60px; height: 40px;
+ background-size: 40px 40px;
+ width: 40px; height: 40px;
}
&-github {
background-image: none, url('../img/icons/icon_github.svg');
- background-size: 60px 40px;
- width: 60px; height: 40px;
+ background-size: 40px 40px;
+ width: 40px; height: 40px;
}
&-twitter {
background-image: none, url('../img/icons/icon_twitter.svg');
- background-size: 60px 40px;
- width: 60px; height: 40px;
+ background-size: 40px 40px;
+ width: 40px; height: 40px;
}
&-medium {
background-image: none, url('../img/icons/icon_medium.svg');
- background-size: 60px 40px;
- width: 60px; height: 40px;
+ background-size: 40px 40px;
+ width: 40px; height: 40px;
}
}
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/_sass/_layout.scss
----------------------------------------------------------------------
diff --git a/_src/_sass/_layout.scss b/_src/_sass/_layout.scss
index b237618..222448d 100644
--- a/_src/_sass/_layout.scss
+++ b/_src/_sass/_layout.scss
@@ -1,5 +1,20 @@
@import 'layout/index';
+.flex-container {
+ @media (min-width: 80em) {
+ display: flex;
+ flex-direction: row;
+ flex-wrap: wrap;
+ margin: 0 auto;
+ h4 {
+ text-align: center;
+ }
+ .nb-card {
+ flex-basis: 30%;
+ }
+ }
+}
+
// content container
.ml-container {
@@ -29,6 +44,10 @@
}
}
+ &--stretch {
+ align-items: stretch;
+ }
+
&--halfway{
position: relative;
top: 50%;
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/_sass/_modules.scss
----------------------------------------------------------------------
diff --git a/_src/_sass/_modules.scss b/_src/_sass/_modules.scss
index c9be210..e9c88c8 100644
--- a/_src/_sass/_modules.scss
+++ b/_src/_sass/_modules.scss
@@ -117,6 +117,7 @@
padding-bottom: 56.25%; /* 16:9 */
padding-top: 25px;
height: 0;
+ margin: 1em 0;
}
.video-wrapper iframe {
position: absolute;
@@ -125,3 +126,51 @@
width: 100%;
height: 100%;
}
+
+//Notebook Cards
+.nb-card {
+ display: flex;
+ flex: 0 1 1;
+ flex-direction: column;
+ justify-content: flex-start;
+ padding: 1.25em;
+ background-color: #ffffff;
+ box-shadow: $shadow-default;
+ margin: 1em;
+ h3 {
+ margin-bottom: 1em;
+ }
+ .nb-link {
+ display: flex;
+ align-items: center;
+ .icon {
+ margin-right: 10px;
+ }
+ }
+}
+
+//Horizontal Tabs
+ul.ml-tabs {
+ list-style: none;
+ margin: 0 0 -3px 1em;
+ position: relative;
+ z-index: 2;
+ li {
+ display: inline-block;
+ padding: .5em 1em;
+ cursor: pointer;
+ &.current {
+ font-weight: 400;
+ background: #fff;
+ border: 1px solid #e0e0e0;
+ border-bottom: 0;
+ }
+ }
+}
+.tab-content {
+ display: none;
+ margin-top: 2px;
+ &.current {
+ display: block;
+ }
+}
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/_scripts/main.js
----------------------------------------------------------------------
diff --git a/_src/_scripts/main.js b/_src/_scripts/main.js
index 902354e..5f17843 100644
--- a/_src/_scripts/main.js
+++ b/_src/_scripts/main.js
@@ -18,6 +18,17 @@ $(document).ready(function() {
$('.jq-modal').fitVids();
+ //Call tabs for Install page
+ $('ul.ml-tabs li').click(function(){
+ var tab_id = $(this).attr('data-tab');
+
+ $('ul.ml-tabs li').removeClass('current');
+ $('.tab-content').removeClass('current');
+
+ $(this).addClass('current');
+ $("#"+tab_id).addClass('current');
+ });
+
});
//End Ready......................................
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/assets/img/jupyter-logo.svg
----------------------------------------------------------------------
diff --git a/_src/assets/img/jupyter-logo.svg b/_src/assets/img/jupyter-logo.svg
new file mode 100644
index 0000000..674d8c2
--- /dev/null
+++ b/_src/assets/img/jupyter-logo.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 261.25 259.88"><defs><style>.cls-1{fill:#e46e2e;}.cls-2{fill:#767474;}.cls-3{fill:#313940;}</style></defs><title>jupyter-logo</title><g id="Layer_2" data-name="Layer 2"><g id="Layer_1-2" data-name="Layer 1"><g id="Page-1"><g id="Artboard"><g id="Group-Copy-4-_-Group-_-Group-Copy" data-name="Group-Copy-4-+-Group-+-Group-Copy"><g id="Group-Copy-4"><path id="Fill-9" class="cls-1" d="M131,205.27c-42.59,0-79.68-15.31-99-37.93a105.21,105.21,0,0,0,198,0c-19.31,22.62-56.39,37.93-99,37.93"/><path id="Fill-10" class="cls-1" d="M131,58C173.62,58,210.7,73.35,230,96A105.21,105.21,0,0,0,32,96C51.35,73.35,88.44,58,131,58"/><path id="Fill-11" class="cls-2" d="M51.23,259.86a16.55,16.55,0,1,1,15.83-17.24A16.55,16.55,0,0,1,51.23,259.86Z"/><path id="Fill-12" class="cls-2" d="M38.53,44.37a10.34,10.34,0,1,1,9.89-10.78A10.34,10.34,0,0,1,38.53,44.37Z"/><path id="Fill-8" class="cls-2" d="M202.75,32.11a16.06,16.06,0,1,1,15.36-16.73A16.06,16.06,0,0,1,202.75
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\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/assets/img/systemml-juypter-install-2.jpeg
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diff --git a/_src/assets/img/systemml-juypter-install-2.jpeg b/_src/assets/img/systemml-juypter-install-2.jpeg
new file mode 100644
index 0000000..9d20a7f
Binary files /dev/null and b/_src/assets/img/systemml-juypter-install-2.jpeg differ
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/assets/img/systemml-juypter-install.jpeg
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diff --git a/_src/assets/img/systemml-juypter-install.jpeg b/_src/assets/img/systemml-juypter-install.jpeg
new file mode 100644
index 0000000..ba97eb7
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[2/3] incubator-systemml-website git commit: Updates for SystemML as
TLP
Posted by de...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-systemml-website/blob/2137dcfd/_src/assets/js/bundle.min.js
----------------------------------------------------------------------
diff --git a/_src/assets/js/bundle.min.js b/_src/assets/js/bundle.min.js
index 8a5e86f..afc5435 100644
--- a/_src/assets/js/bundle.min.js
+++ b/_src/assets/js/bundle.min.js
@@ -1,4 +1,4 @@
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