You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mahout.apache.org by ss...@apache.org on 2014/05/06 23:04:25 UTC

svn commit: r1592883 - /mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext

Author: ssc
Date: Tue May  6 21:04:24 2014
New Revision: 1592883

URL: http://svn.apache.org/r1592883
Log:
MAHOUT-1548 Fix broken links in quickstart webpage

Modified:
    mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext

Modified: mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext?rev=1592883&r1=1592882&r2=1592883&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext Tue May  6 21:04:24 2014
@@ -36,11 +36,11 @@ Check the [Synthetic data](/users/cluste
 
 #### Classification
 
-If you are interested in how to train a **Naive Bayes** model, look at the [20 newsgroups](/users/clustering/twenty-newsgroups.html) example or the [naive bayes wikipedia example](/users/classification/wikipedia-bayes-example.html) example.
+If you are interested in how to train a **Naive Bayes** model, look at the [20 newsgroups](/users/clustering/twenty-newsgroups.html) example.
 
-If you plan to build a **Hidden Markov Model** for speech recognition, the example [here](/users/stuff/hidden-markov-models.html) might be instructive. 
+If you plan to build a **Hidden Markov Model** for speech recognition, the example [here](/users/classification/hidden-markov-models.html) might be instructive. 
 
-Or you could build a **Random Forest** model by following this [quick start page](/users/stuff/partial-implementation.html).
+Or you could build a **Random Forest** model by following this [quick start page](/users/classification/partial-implementation.html).
 
 #### Working with Text