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From "Sebastian Schelter (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (MAHOUT-1250) Deprecate unused algorithms
Date Sun, 09 Jun 2013 22:04:20 GMT

     [ https://issues.apache.org/jira/browse/MAHOUT-1250?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sebastian Schelter resolved MAHOUT-1250.
----------------------------------------

    Resolution: Fixed
    
> Deprecate unused algorithms
> ---------------------------
>
>                 Key: MAHOUT-1250
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1250
>             Project: Mahout
>          Issue Type: Improvement
>    Affects Versions: 0.8
>            Reporter: Sebastian Schelter
>            Assignee: Sebastian Schelter
>             Fix For: 0.8
>
>
> As discussed on the mailinglist, we will deprecate a lot of unused algorithms to tackle
the 1.0 release with a more slim codebase. 
> So far we propose to deprecate these algorithms (and schedule them for removal):
> - Clustering:
>     Dirichlet
>     MeanShift
>     MinHash
> 		Eigencuts in o.a.m.clustering.spectral.eigencuts
> - Classification:
> 		Winnow
> 		Perceptron
> - Frequent Pattern Mining
> - Collaborative Filtering:
> 		all recommenders in o.a.m.cf.taste.impl.recommender.knn
> 		TreeClusteringRecommender in o.a.m.cf.taste.impl.recommender
> 		SlopeOne implementations in o.a.m..cf.taste.hadoop.slopeone and o.a.m.cf.taste.impl.recommender.slopeone
> 		distributed pseudo recommender in o.a.m.cf.taste.hadoop.pseudo
> -Math
> 		Hadoop entropy stuff in o.a.m.math.stats.entropy
>                 Lanczos in favor of SSVD 

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