[jira] Updated: (MAHOUT-92) BayesFeatureMapper doesn't properly extract features

["Robin Anil (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-92?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Robin Anil updated MAHOUT-92:
-----------------------------

    Attachment: MAHOUT-92.patch

{quote}
to test
 hadoop jar build/apache-mahout-examples-0.1-dev.job org.apache.mahout.classifier.bayes.TestClassifier -p 20newsmodel -t ../core/work/20news-18828-collapse/ -ng 1 -type cbayes -a org.apache.lucene.analysis.standard.StandardAnalyzer -d default -e UTF-8
{/quote}


Some lines were missing in very last patch I submitted in MAHOUT-60. BayesFeatureMapper wasnt creating any output. 
This patch fixes that. I also ran a train and a test over 20 newsgroups. Everything seems working at the moment.

Why is encoding and analyzer a required option in the command line?
 I feel it should be optional. 

The same goes for the default category. The classifier returns the first category if all the categories have same score or zero.  I don't see any problem in that.

 Any thoughts?

> BayesFeatureMapper doesn't properly extract features
> ----------------------------------------------------
>
>                 Key: MAHOUT-92
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-92
>             Project: Mahout
>          Issue Type: Bug
>            Reporter: Grant Ingersoll
>            Assignee: Grant Ingersoll
>            Priority: Minor
>             Fix For: 0.1
>
>         Attachments: MAHOUT-92.patch
>
>
> The BayesFeatureMapper currently has a bunch of unused variables and doesn't actually do anything.  The problem is it is not using the input value to generate a set of n-grams, from which it can then generate tf-idf information.

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