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https://issues.apache.org/jira/browse/SPARK-1303?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13967630#comment-13967630
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Martin Jaggi commented on SPARK-1303:
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Discretization: see also https://issues.apache.org/jira/browse/SPARK-1216
Can you link the pull request here as well please?
Feature selection: see also https://issues.apache.org/jira/browse/SPARK-1473
> Added discretization capability to MLlib.
> -----------------------------------------
>
> Key: SPARK-1303
> URL: https://issues.apache.org/jira/browse/SPARK-1303
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: LIDIAgroup
> Fix For: 1.0.0
>
>
> Some time ago, we have commented with Ameet Talwalkar the possibilty of
> including both Feature Selection and Discretization algorithms to MLlib.
> In this patch we've implemented Entropy Minimization Discretization following
> the algorithm described in the paper "Multi-interval discretization of
> continuous-valued attributes for classification learning" by Fayyad and Irani
> (1993). This is one of the most used Discretizers and is already included in
> most libraries like Weka, etc. This can be used as base for FS algorims and
> the NaiveBayes already included in MLlib.
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