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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