Yes on it. On Mon, Apr 4, 2011 at 2:57 AM, Sean Owen (JIRA) <[email protected]> wrote:
> > [ > https://issues.apache.org/jira/browse/MAHOUT-487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13015226#comment-13015226] > > Sean Owen commented on MAHOUT-487: > ---------------------------------- > > This still looks like a good idea and support from Robin. Robin can you get > it in for 0.5? > > > 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 > > Reporter: Drew Farris > > Assignee: Robin Anil > > Priority: Minor > > Fix For: 0.5 > > > > > > 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} > > -- > This message is automatically generated by JIRA. > For more information on JIRA, see: http://www.atlassian.com/software/jira >
