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https://issues.apache.org/jira/browse/MAHOUT-668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13040864#comment-13040864
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Daniel McEnnis commented on MAHOUT-668:
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Ted,
On the contrary. The only method of creating a model in Bayes I've found uses
tokenized text with no way to specify a model. If specifying a model when
loading code is the interface, then great, but none of the classifier have it.
It has some serious issues with text versus non-text models but I can live with
that. But what your describing is loading a model, which AFAIK Bayes doesn't
have. If this is not true please point me at the code so I can study it.
Thank you,
Daniel.
> Adding knn support to Mahout classifiers
> ----------------------------------------
>
> Key: MAHOUT-668
> URL: https://issues.apache.org/jira/browse/MAHOUT-668
> Project: Mahout
> Issue Type: Improvement
> Components: Classification
> Affects Versions: 0.6
> Reporter: Daniel McEnnis
> Labels: classification, knn
> Attachments: MAHOUT-668.pat, Mahout-668-2.patch, Mahout-668-3.patch,
> Mahout-668-3.patch, Mahout-668-3.patch, Mahout-668-3.patch,
> Mahout-668-3.patch, Mahout-668-3.patch, Mahout-668.pat
>
> Original Estimate: 672h
> Remaining Estimate: 672h
>
> Initial implementation of the knn. This is a minimum base set with many more
> possible add-ons including support for text and weka input as well as a
> classify only (no confusion matrix) back end. The system was tested on the
> 20 newsgroup data set.
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