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https://issues.apache.org/jira/browse/MAHOUT-60?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12612163#action_12612163
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Steven Handerson commented on MAHOUT-60:
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I'm still a newbie at this, just running your code, but I noticed that I was
able to get high utilization (30-40%) on the early map-reduce tasks,
but down to 3% on the fourth map-reduce pass.
Any idea why this would be? Obviously I'm still playing with the machine
hadoop installation parameters (this is an 8-core 1-chip Sun box).
> Complementary Naive Bayes
> -------------------------
>
> Key: MAHOUT-60
> URL: https://issues.apache.org/jira/browse/MAHOUT-60
> Project: Mahout
> Issue Type: Sub-task
> Components: Classification
> Reporter: Robin Anil
> Assignee: Grant Ingersoll
> Priority: Minor
> Fix For: 0.1
>
> Attachments: MAHOUT-60.patch, MAHOUT-60.patch, MAHOUT-60.patch,
> twcnb.jpg
>
>
> The focus is to implement an improved text classifier based on this paper
> http://people.csail.mit.edu/jrennie/papers/icml03-nb.pdf.
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