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  1. Mahout
  2. MAHOUT-1250

Deprecate unused algorithms

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    Details

    • Type: Improvement
    • Status: Closed
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 0.8
    • Fix Version/s: 0.8
    • Component/s: None
    • Labels:
      None

      Description

      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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            • Assignee:
              ssc Sebastian Schelter
              Reporter:
              ssc Sebastian Schelter
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              • Created:
                Updated:
                Resolved: