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Posted to commits@mahout.apache.org by bu...@apache.org on 2015/03/30 18:56:54 UTC
svn commit: r945693 - in /websites/staging/mahout/trunk/content: ./
users/classification/logistic-regression.html
Author: buildbot
Date: Mon Mar 30 16:56:54 2015
New Revision: 945693
Log:
Staging update by buildbot for mahout
Modified:
websites/staging/mahout/trunk/content/ (props changed)
websites/staging/mahout/trunk/content/users/classification/logistic-regression.html
Propchange: websites/staging/mahout/trunk/content/
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--- cms:source-revision (original)
+++ cms:source-revision Mon Mar 30 16:56:54 2015
@@ -1 +1 @@
-1670143
+1670144
Modified: websites/staging/mahout/trunk/content/users/classification/logistic-regression.html
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--- websites/staging/mahout/trunk/content/users/classification/logistic-regression.html (original)
+++ websites/staging/mahout/trunk/content/users/classification/logistic-regression.html Mon Mar 30 16:56:54 2015
@@ -264,7 +264,8 @@ large training sets to be used.</p>
Paul Komarek</a> [1].</p>
<p>See MAHOUT-228 for the main JIRA issue for SGD.</p>
<p>A more detailed overview of the Mahout Linear Regression classifier and <a href="http://blog.trifork.com/2014/02/04/an-introduction-to-mahouts-logistic-regression-sgd-classifier/">detailed discription of building a Logistic Regression classifier</a> for the classic <a href="http://en.wikipedia.org/wiki/Iris_flower_data_set">Iris flower dataset</a> is also available [2]. </p>
-<p>An example of using training a Logistic Regression classifier for the <a href="http://mlr.cs.umass.edu/ml/datasets/Bank+Marketing">UCI Bank Marketing Dataset</a> can be found <a href="http://mahout.apache.org/users/classification/bankmarketing-example.html">on the Mahout website</a> [3].</p>
+<p>An example of training a Logistic Regression classifier for the <a href="http://mlr.cs.umass.edu/ml/datasets/Bank+Marketing">UCI Bank Marketing Dataset</a> can be found <a href="http://mahout.apache.org/users/classification/bankmarketing-example.html">on the Mahout website</a> [3].</p>
+<p>An example of training and testing a Logistic Regression document classifier for the classic <a href="https://github.com/apache/mahout/blob/master/examples/bin/classify-20newsgroups.sh">20 newsgroups corpus</a> [4] is also available. </p>
<p><a name="LogisticRegression-Parallelizationstrategy"></a></p>
<h2 id="parallelization-strategy">Parallelization strategy</h2>
<p>The bad news is that SGD is an inherently sequential algorithm. The good