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From "tom pierce (Created) (JIRA)" <j...@apache.org>
Subject [jira] [Created] (MAHOUT-911) Naive Bayes trains models that are too large to apply
Date Sat, 03 Dec 2011 01:41:40 GMT
Naive Bayes trains models that are too large to apply
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                 Key: MAHOUT-911
                 URL: https://issues.apache.org/jira/browse/MAHOUT-911
             Project: Mahout
          Issue Type: Bug
          Components: Classification
    Affects Versions: 0.6
            Reporter: tom pierce


I'm seeing the same issue that Lyall Morrison mentioned on the user list not too long ago;
I can train a model that apparently has too many classes (or is otherwise too large) to read
back in and apply to new documents.  

I was able to duplicate this issue using the Wikipedia classification example.  I used an
expanded set of categories (125, which is well over the 30-some that caused trouble for Lyall).

I'll attach the list of categories I used.

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