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Posted to dev@mahout.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2011/05/04 14:17:03 UTC
[jira] [Updated] (MAHOUT-487) Issues with memory use and
inconsistent or state-influenced results when using CBayesAlgorithm
[ https://issues.apache.org/jira/browse/MAHOUT-487?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated MAHOUT-487:
-----------------------------
Affects Version/s: 0.5
0.4
Fix Version/s: (was: 0.5)
0.6
No movement in a month, coming up on our deadline for 0.5 code freeze -- 0.6?
> Issues with memory use and inconsistent or state-influenced results when using CBayesAlgorithm
> ----------------------------------------------------------------------------------------------
>
> Key: MAHOUT-487
> URL: https://issues.apache.org/jira/browse/MAHOUT-487
> Project: Mahout
> Issue Type: Bug
> Components: Classification
> Affects Versions: 0.3, 0.4, 0.5
> Reporter: Drew Farris
> Assignee: Robin Anil
> Priority: Minor
> Fix For: 0.6
>
>
> Came across this digging through the mailing list archives for something else, probably worth tracking as an issue.
> {quote}
> During classification, every word still unknown is added to
> featureDictionary. This leads to the excessive growth if lots of texts
> with unknown words are to be classified. The inconsistency is caused by
> using a "vocabCount" that is not reset after each classification.
> Indeed, featureDictionary.size() is used for "vocabCount", which
> increases every time new unknown words are discovered.
> {quote}
> See: http://www.lucidimagination.com/search/document/7dabe3efec8d136d/issues_with_memory_use_and_inconsistent_or_state_influenced_results_when_using_cbayesalgorit#8853165db260bf75
> Alternately per Robin:
> {quote}
> We can remove the addition features to the
> dictionary altogether. Will yield better performance, and lock down the
> model. Will require a bit more modification
> {quote}
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