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Posted to dev@mahout.apache.org by "Sebastian Schelter (JIRA)" <ji...@apache.org> on 2013/06/09 21:59:19 UTC
[jira] [Updated] (MAHOUT-1250) Deprecate unused algorithms
[ https://issues.apache.org/jira/browse/MAHOUT-1250?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sebastian Schelter updated MAHOUT-1250:
---------------------------------------
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
was:
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
Hadoop entropy stuff in o.a.m.math.stats.entropy
> 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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