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https://issues.apache.org/jira/browse/MAHOUT-294?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robin Anil updated MAHOUT-294:
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Component/s: Clustering
Adding clustering back. Saw some bugs
KMeans put the -k parameter as required=true. So It was overwriting centroids
even when not specified, instead of reading it
LDA: Topic smoothing was changed to default of -1 (it should be 50/numTopics)
> 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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