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From "Daniel McEnnis (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAHOUT-668) Adding knn support to Mahout classifiers
Date Sun, 29 May 2011 20:01:48 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13040864#comment-13040864
] 

Daniel McEnnis commented on MAHOUT-668:
---------------------------------------

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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