Author: buildbot
Date: Fri Jan  3 10:16:13 2014
New Revision: 892633

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 Fri Jan  3 10:16:13 2014
@@ -1 +1 @@
-1554323
+1555042

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 
Fri Jan  3 10:16:13 2014
@@ -387,19 +387,12 @@ mahout job:</p>
 $ mvn install</p>
 </li>
 <li>
-<p>Run the 20 newsgroup example by executing the script as below</p>
-<p>$ ./examples/bin/build-20news-bayes.sh</p>
+<p>Run the 20 newsgroup example by executing:</p>
+<p>$ ./examples/bin/classify-20newsgroups.sh</p>
 </li>
 </ol>
-<p>After MAHOUT-857 is committed (available when 0.6 is released), the command
-will be:</p>
-<div class="codehilite"><pre>$ <span class="o">./</span><span 
class="n">examples</span><span class="o">/</span><span 
class="n">bin</span><span class="o">/</span><span 
class="n">classify</span><span class="o">-</span>20<span 
class="n">newsgroups</span><span class="p">.</span><span class="n">sh</span>
-</pre></div>
-
-
-<p>This later version allows you to also try out running Stochastic Gradient
-Descent (SGD) on the same data.</p>
 <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


Reply via email to