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https://issues.apache.org/jira/browse/MAHOUT-663?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13669367#comment-13669367
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Jose Angel López Otero commented on MAHOUT-663:
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Another Hadoop based tools, like Cascading, have implemented a way to detect
right class to use in setJarByClass invocation. I've ported this to mahout-0.7
since I can't access to Job object in TrainNaiveBayesJob class instances.
> Rationalize hadoop job creation with respect to setJarByClass
> -------------------------------------------------------------
>
> Key: MAHOUT-663
> URL: https://issues.apache.org/jira/browse/MAHOUT-663
> Project: Mahout
> Issue Type: Bug
> Components: build
> Affects Versions: 0.4, 0.5
> Reporter: Benson Margulies
> Assignee: Sean Owen
> Fix For: 0.6
>
>
> Mahout includes a series of driver classes that create hadoop jobs via static
> methods.
> Each one of these calls job.setJarByClass(itself.class).
> Unfortunately, this subverts the hadoop support for putting additional jars
> in the lib directory of a job jar, since the class passed in is not a class
> that lives in the ordinary section of the job jar.
> The effect of this is to force users of Mahout (and Mahout's own example job
> jar) to unpack the mahout-core jar into the main section, instead of just
> treating it as a 'lib' dependency.
> It seems to me that all the static job creators should be refactored into a
> public function that returns a job object (and does NOT call
> waitForCompletion), and then the existing wrapper. Users could call the new
> functions, and make their own call to setJarByClass.
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