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Hudson commented on MAHOUT-294: ------------------------------- Integrated in Mahout-Quality #152 (See [http://hudson.zones.apache.org/hudson/job/Mahout-Quality/152/]) MAHOUT-294: - added method=sequential|mapreduce argument to MeanShift, k-Means and FuzzyK to allow reference implementations to be exercised from the command line - added/updated unit tests to verify sequential implementations from command line - all tests run > 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 > > Attachments: MAHOUT-294.patch, MAHOUT-294.patch, MAHOUT-294a.patch > > > * 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 -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.