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From build...@apache.org
Subject svn commit: r919421 - in /websites/staging/mahout/trunk/content: ./ users/classification/bankmarketing-example.html
Date Fri, 15 Aug 2014 10:22:29 GMT
Author: buildbot
Date: Fri Aug 15 10:22:29 2014
New Revision: 919421

Log:
Staging update by buildbot for mahout

Modified:
    websites/staging/mahout/trunk/content/   (props changed)
    websites/staging/mahout/trunk/content/users/classification/bankmarketing-example.html

Propchange: websites/staging/mahout/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Fri Aug 15 10:22:29 2014
@@ -1 +1 @@
-1618140
+1618142

Modified: websites/staging/mahout/trunk/content/users/classification/bankmarketing-example.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/classification/bankmarketing-example.html
(original)
+++ websites/staging/mahout/trunk/content/users/classification/bankmarketing-example.html
Fri Aug 15 10:22:29 2014
@@ -253,7 +253,7 @@ of information such as age, job, marital
 <p>The data can be found at </p>
 <p><em>mahout-examples/src/main/resources/bank-full.csv</em></p>
 <h3 id="code-details">Code details</h3>
-<p>This eaxmple consists of 3 classes:</p>
+<p>This example consists of 3 classes:</p>
 <ul>
 <li>BankMarketingClassificationMain</li>
 <li>TelephoneCall</li>
@@ -261,7 +261,7 @@ of information such as age, job, marital
 </ul>
 <p>When you run the main method of BankMarketingClassificationMain it parses the dataset
using the TelephoneCallParser and trains
 a logistic regression model with 20 runs and 20 passes. The TelephoneCallParser uses Mahout's
feature vector encoder
-to encode the features in the dataset into a vector. Afterwards the model is tested and the
learning rate and AUC is printed ccuracy is printed to standard output.</p>
+to encode the features in the dataset into a vector. Afterwards the model is tested and the
learning rate and AUC is printed accuracy is printed to standard output.</p>
    </div>
   </div>     
 </div> 



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