Hi,

I'm using Frequent Pattern Mining to get association rules and I don't
think I'm the only one. I would appreciate if we could keep at least this
one.
Also, I think Dirichlet Clustering is not the most used nor the quickest
clustering technique, but it uses an interesting and beautiful theory with
good results. Maybe we should work on it instead of simply deprecate then
remove this algorithm.

Regards,

Louis


2013/6/13 Hudson (JIRA) <[email protected]>

>
>     [
> https://issues.apache.org/jira/browse/MAHOUT-1250?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13682747#comment-13682747]
>
> Hudson commented on MAHOUT-1250:
> --------------------------------
>
> Integrated in Mahout-Quality #2080 (See [
> https://builds.apache.org/job/Mahout-Quality/2080/])
>     MAHOUT-1250 Deprecate unused algorithms (Revision 1492842)
>
>      Result = FAILURE
> ssc :
> Files :
> *
> /mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/transforms/CaseAmplification.java
> *
> /mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/transforms/Counters.java
> *
> /mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/transforms/InverseUserFrequency.java
> *
> /mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/transforms/ZScore.java
> *
> /mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/transforms/PreferenceTransform.java
> *
> /mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/transforms/SimilarityTransform.java
>
>
> > 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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