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Posted to dev@mahout.apache.org by "tom pierce (Updated) (JIRA)" <ji...@apache.org> on 2011/12/03 02:43:39 UTC
[jira] [Updated] (MAHOUT-911) Naive Bayes trains models that are
too large to apply
[ https://issues.apache.org/jira/browse/MAHOUT-911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
tom pierce updated MAHOUT-911:
------------------------------
Attachment: example.wiki.categories.txt
> Naive Bayes trains models that are too large to apply
> -----------------------------------------------------
>
> 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
> Attachments: example.wiki.categories.txt
>
>
> 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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