Author: buildbot
Date: Tue Jun 24 14:35:24 2014
New Revision: 913505
Log:
Staging update by buildbot for mahout
Modified:
websites/staging/mahout/trunk/content/ (props changed)
websites/staging/mahout/trunk/content/users/classification/bayesian.html
Propchange: websites/staging/mahout/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Tue Jun 24 14:35:24 2014
@@ -1 +1 @@
-1605092
+1605096
Modified:
websites/staging/mahout/trunk/content/users/classification/bayesian.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/classification/bayesian.html
(original)
+++ websites/staging/mahout/trunk/content/users/classification/bayesian.html
Tue Jun 24 14:35:24 2014
@@ -279,7 +279,7 @@
</ul>
<p>As we can see, the main difference between Bayes and CBayes is the weight
calculation step. Where Bayes weighs terms more heavily based on the
likelihood that they belong to class <code>\(c\)</code>, CBayes seeks to
maximize term weights on the likelihood that they do not belong to any other
class. </p>
<h3 id="running-from-the-command-line">Running from the command line</h3>
-<p>Mahout provides CLI drivers for all above steps. Here we will give a
simple overview of Mahout CLI commands used to preprocess the data, train the
model and assign labels to the training set. An <a
href="https://svn.apache.org/repos/asf/mahout/trunk/examples/bin/classify-20newsgroups.sh";>example
script</a> is given for the full process from data acquisition through
classification of the classic <a
href="https://mahout.apache.org/users/classification/twenty-newsgroups.html";>20
Newsgroups corpus</a>. </p>
+<p>Mahout provides CLI drivers for all above steps. Here we will give a
simple overview of Mahout CLI commands used to preprocess the data, train the
model and assign labels to the training set. An <a
href="https://github.com/apache/mahout/blob/master/examples/bin/classify-20newsgroups.sh";>example
script</a> is given for the full process from data acquisition through
classification of the classic <a
href="https://mahout.apache.org/users/classification/twenty-newsgroups.html";>20
Newsgroups corpus</a>. </p>
<ul>
<li>
<p><strong>Preprocessing:</strong>
