Author: deron
Date: Fri Feb 10 02:08:54 2017
New Revision: 1782425
URL: http://svn.apache.org/viewvc?rev=1782425&view=rev
Log:
Python updates to download and get-started for 0.12
Modified:
incubator/systemml/site/download.html
incubator/systemml/site/get-started.html
Modified: incubator/systemml/site/download.html
URL:
http://svn.apache.org/viewvc/incubator/systemml/site/download.html?rev=1782425&r1=1782424&r2=1782425&view=diff
==============================================================================
--- incubator/systemml/site/download.html (original)
+++ incubator/systemml/site/download.html Fri Feb 10 02:08:54 2017
@@ -183,6 +183,11 @@
<td><a
href="http://www.apache.org/dist/incubator/systemml/0.12.0-incubating/systemml-0.12.0-incubating-src.zip.md5";>MD5</a></td>
<td><a
href="http://www.apache.org/dist/incubator/systemml/0.12.0-incubating/systemml-0.12.0-incubating-src.zip.asc";>ASC</a></td>
</tr>
+ <tr>
+ <td><a
href="http://www.apache.org/dyn/closer.lua/incubator/systemml/0.12.0-incubating/systemml-0.12.0-incubating-python.tgz";
target="_blank">systemml-0.12.0-incubating (Python package .tgz)</a></td>
+ <td><a
href="http://www.apache.org/dist/incubator/systemml/0.12.0-incubating/systemml-0.12.0-incubating-python.tgz.md5";>MD5</a></td>
+ <td><a
href="http://www.apache.org/dist/incubator/systemml/0.12.0-incubating/systemml-0.12.0-incubating-python.tgz.asc";>ASC</a></td>
+ </tr>
<tr>
<td><a
href="https://github.com/apache/incubator-systemml-website/blob/master/0.12.0-incubating/release_notes.md";
target="_blank">Release Notes</td>
@@ -193,6 +198,7 @@
<p>Instructions for checking hashes and signatures is described on
the <a href="http://www.apache.org/info/verification.html";
target="_blank">Verifying Apache Software Foundation Releases</a> page.</p>
+
<h3>Nightly Experimental Builds</h3>
<p>Nightly experimental builds for Spark 2.x can be obtained from <a
href="https://sparktc.ibmcloud.com/repo/latest/"; target="_blank">our nightly
build</a> page.</p>
Modified: incubator/systemml/site/get-started.html
URL:
http://svn.apache.org/viewvc/incubator/systemml/site/get-started.html?rev=1782425&r1=1782424&r2=1782425&view=diff
==============================================================================
--- incubator/systemml/site/get-started.html (original)
+++ incubator/systemml/site/get-started.html Fri Feb 10 02:08:54 2017
@@ -153,7 +153,7 @@
</div>
<div class="col col-6 content-group content-group--more-padding">
<h2>SystemML Beginner Tutorial</h2>
- <h4><strong>Level:</strong> Beginner |
<strong>Time:</strong> 20 minutes</h4><br>
+ <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>
<a class="button button-secondary"
href="https://apache.github.io/incubator-systemml"; target="_blank">Docs</a>
</div>
@@ -215,6 +215,8 @@ pip install jupyter matplotlib numpy</co
<div class="col col-12">
<pre><code>brew tap homebrew/versions
brew install apache-spark16</code></pre>
+
+ <p> Alternatively, you can <a
href="http://spark.apache.org/downloads.html";>download Spark</a> directly. </p>
</div>
<!-- Step 4 Instructions -->
@@ -224,23 +226,24 @@ brew install apache-spark16</code></pre>
<!-- Step 4 Code -->
<div class="col col-12">
- <p>Download <a
href="http://www.apache.org/dyn/closer.cgi/pub/apache/incubator/systemml/0.10.0-incubating/systemml-0.10.0-incubating.zip";
target="_blank">systemml-0.10.0-incubating.zip</a> and unzip it to a location
of your choice.<br>
- This is optional, but will be much easier in the long run: move
SystemML to your bash profile. </p>
- <pre><code>vim .bash_profile
-i
-# 1 line:
-export SYSTEMML_HOME=/Users/stc/Documents/systemml-0.10.0-incubating
-:wq</code></pre>
- <p>
-Similar to the Scala API, SystemML also provides a Python MLContext API. In
addition to the regular SystemML.jar file, youâll need to install the Python
API as follows:</p>
- <pre><code>Python 2:
+
+ <p>
+ If you are a python user, we recommend that you download and install
Apache SystemML via pip:
+ </p>
+ <pre><code>Python 2:
pip install systemml
# Bleeding edge: pip install
git+git://github.com/apache/incubator-systemml.git#subdirectory=src/main/python
Python 3:
pip3 install systemml
# Bleeding edge: pip3 install
git+git://github.com/apache/incubator-systemml.git#subdirectory=src/main/python</code></pre>
- </div>
+
+ <p>
+ Alternatively, if you intend to use SystemML via spark-shell (or
spark-submit), you only need systemml-0.12.0-incubating.jar, which is packaged
into our official binary release (<a
href="http://www.apache.org/dyn/closer.cgi/pub/apache/incubator/systemml/0.12.0-incubating/systemml-0.12.0-incubating.zip";
target="_blank">systemml-0.12.0-incubating.zip</a>).
+ Note: If you have installed SystemML via pip, you can get the location
of this jar by executing following command:
+ </p>
+ <pre><code>python -c 'import imp; import os; print
os.path.join(imp.find_module("systemml")[1], "systemml-java")'</code></pre>
+
</div>
<!-- Section 3 -->
@@ -248,7 +251,31 @@ pip3 install systemml
<!-- Section Header -->
<div class="col col-12 content-group--medium-bottom-margin">
<h2>Ways to Use</h2>
- <p>How to Use SystemML.</p>
+ <p>You can use SystemML in one of the following ways:
+ <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 -->
