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https://issues.apache.org/jira/browse/SPARK-12381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412459#comment-15412459
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Vladimir Feinberg commented on SPARK-12381:
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Yeah, that'd be a good idea.
> Copy public decision tree helper classes from spark.mllib to spark.ml and
> make private
> --------------------------------------------------------------------------------------
>
> Key: SPARK-12381
> URL: https://issues.apache.org/jira/browse/SPARK-12381
> Project: Spark
> Issue Type: Sub-task
> Components: ML, MLlib
> Reporter: Seth Hendrickson
>
> The helper classes for decision trees and decision tree ensembles (e.g.
> Impurity, InformationGainStats, ImpurityStats, DTStatsAggregator, etc...)
> currently reside in spark.mllib, but as the algorithm implementations are
> moved to spark.ml, so should these helper classes.
> We should take this opportunity to make some of those helper classes private
> when possible (especially if they are only needed during training) and maybe
> change the APIs (especially if we can eliminate duplicate data stored in the
> final model).
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