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https://issues.apache.org/jira/browse/MAHOUT-294?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12888442#action_12888442
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Ted Dunning commented on MAHOUT-294:
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{quote}
Anyway, I'm not sure this warrants all the effort. I'm game but need a little
more encouragement/benefits.
{quote}
Here is some generic encouragement.
Right now, the only integration strategy we have for the machine learning side
of the house is command line based. Getting that to be consistent is really
important for user understanding. As such, what you are doing is almost more
helpful than any single new algorithm.
(does that help?)
> Uniform API behavior for Jobs
> -----------------------------
>
> Key: MAHOUT-294
> URL: https://issues.apache.org/jira/browse/MAHOUT-294
> Project: Mahout
> Issue Type: Improvement
> Components: Classification, Clustering, Collaborative Filtering,
> Frequent Itemset/Association Rule Mining, Genetic Algorithms, Math, Utils
> Affects Versions: 0.4
> Reporter: Robin Anil
> Fix For: 0.4
>
>
> * Move AbstractJob to common and convert all the Driver classes to extend
> that.
> One suggestion is:
> AlgorithmParams params = ParamsBuilder.build().withParam("-i",
> input).withParam("-o", output)....
> MyAlgorithmn.runJob(params) throws ParameterMissingException;
> * Give uniform command-line parameters for various algorithms.
> e.g Currently distance measure is -d, -dm, -m at different places in
> clustering
> * Add a temp directory as a parameter
> http://www.lucidimagination.com/search/document/28a979aa62c02a1/who_owns_mahout_bucket_on_s3#ddb5855e8bdace45
> This issue will keep track of all discussion/patches related to the design
> and cleanup of Mahout API
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