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From build...@apache.org
Subject svn commit: r903178 - in /websites/staging/mahout/trunk/content: ./ users/clustering/twenty-newsgroups.html
Date Sun, 23 Mar 2014 16:53:21 GMT
Author: buildbot
Date: Sun Mar 23 16:53:20 2014
New Revision: 903178

Log:
Staging update by buildbot for mahout

Modified:
    websites/staging/mahout/trunk/content/   (props changed)
    websites/staging/mahout/trunk/content/users/clustering/twenty-newsgroups.html

Propchange: websites/staging/mahout/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Sun Mar 23 16:53:20 2014
@@ -1 +1 @@
-1580529
+1580530

Modified: websites/staging/mahout/trunk/content/users/clustering/twenty-newsgroups.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/clustering/twenty-newsgroups.html (original)
+++ websites/staging/mahout/trunk/content/users/clustering/twenty-newsgroups.html Sun Mar
23 16:53:20 2014
@@ -247,14 +247,16 @@ $ mvn install</p>
 <p>$ ./examples/bin/classify-20newsgroups.sh</p>
 </li>
 </ol>
-<p>The script performs the following
-1. # Asks you to select an classification algorithm: Complementary Naive Bayes, Naive Bayes
or Stochastic Gradient Descent.
-1. # Downloads <em>20news-bydate.tar.gz</em> from the <a href="http://people.csail.mit.edu/jrennie/20Newsgroups/20news-bydate.tar.gz">20newsgroups
dataset</a>
-1. # Extracts dataset
-1. # Generates input dataset for training classifier
-1. # Generates input dataset for testing classifier
-1. # Trains the classifier
-1. # Tests the classifier</p>
+<p>The script performs the following</p>
+<ol>
+<li>Asks you to select an classification algorithm: Complementary Naive Bayes, Naive
Bayes or Stochastic Gradient Descent.</li>
+<li>Downloads <em>20news-bydate.tar.gz</em> from the <a href="http://people.csail.mit.edu/jrennie/20Newsgroups/20news-bydate.tar.gz">20newsgroups
dataset</a></li>
+<li>Extracts dataset</li>
+<li>Generates input dataset for training classifier</li>
+<li>Generates input dataset for testing classifier</li>
+<li>Trains the classifier</li>
+<li>Tests the classifier</li>
+</ol>
 <p>Output might look like:</p>
 <div class="codehilite"><pre><span class="o">======================================================</span><span
class="p">=</span>
 <span class="n">Confusion</span> <span class="n">Matrix</span>



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