svn commit: r1544126 - /mahout/site/mahout_cms/trunk/content/users/clustering/llr---log-likelihood-ratio.mdtext

[is...@apache.org]

Author: isabel
Date: Thu Nov 21 11:27:30 2013
New Revision: 1544126

URL: http://svn.apache.org/r1544126
Log:
MAHOUT-1245 - formatting

Modified:
    mahout/site/mahout_cms/trunk/content/users/clustering/llr---log-likelihood-ratio.mdtext

Modified: mahout/site/mahout_cms/trunk/content/users/clustering/llr---log-likelihood-ratio.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/clustering/llr---log-likelihood-ratio.mdtext?rev=1544126&r1=1544125&r2=1544126&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/clustering/llr---log-likelihood-ratio.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/clustering/llr---log-likelihood-ratio.mdtext Thu Nov 21 11:27:30 2013
@@ -1,6 +1,9 @@
 Title: LLR - Log-likelihood Ratio
-{excerpt}Likelihood ratio test is used to compare the fit of two models one
-of which is nested within the other.{excerpt}
+
+# Likelihood ratio test
+
+_Likelihood ratio test is used to compare the fit of two models one
+of which is nested within the other._
 
 In the context of machine learning and the Mahout project in particular,
 the term LLR is usually meant to refer to a test of significance for two
@@ -30,8 +33,9 @@ problems where the potential number of f
 number of training examples and where features are highly interdependent.
 
  See Also: 
- * http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html
- * http://en.wikipedia.org/wiki/G-test
- * http://en.wikipedia.org/wiki/Likelihood-ratio_test
+
+* [Blog post "surprise and coincidence"](http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html)
+* [G-Test](http://en.wikipedia.org/wiki/G-test)
+* [Likelihood Ratio Test](http://en.wikipedia.org/wiki/Likelihood-ratio_test)
 
       
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