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https://issues.apache.org/jira/browse/MAHOUT-220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12795133#action_12795133
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Robin Anil commented on MAHOUT-220:
-----------------------------------
Anyways, I guess we are sounding like ML engineers here. This is a library, our
job is to have options for people like us to debate over :). So lets agree upon
a common mechanism.
i.e Have different ways to create a term frequency vector. ie List<String> =>
SparseVector from documents.
Once the SparseVector is created. Use uniform M/R jobs to do things like tfidf
weighting, log likelihood(although i think we need the orginal file to get the
co-occurrence and not the SparseVector)
Any ideas?
> Mahout Bayes Code cleanup
> -------------------------
>
> Key: MAHOUT-220
> URL: https://issues.apache.org/jira/browse/MAHOUT-220
> Project: Mahout
> Issue Type: Improvement
> Components: Classification
> Affects Versions: 0.3
> Reporter: Robin Anil
> Assignee: Robin Anil
> Fix For: 0.3
>
> Attachments: MAHOUT-BAYES.patch, MAHOUT-BAYES.patch
>
>
> Following isabel's checkstyle, I am adding a whole slew of code cleanup with
> the following exceptions
> 1. Line length used is 120 instead of 80.
> 2. static final log is kept as is. not LOG.
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