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https://issues.apache.org/jira/browse/SPARK-9722?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14990866#comment-14990866
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Joseph K. Bradley commented on SPARK-9722:
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[~yuu.ishik...@gmail.com] Thanks for the PR! Sorry I was slow to get to it.
Could you please add a seed Param to DecisionTreeClassifier and
DecisionTreeRegressor? I'll create a new JIRA and link it here.
I hope we can squeeze it into 1.6. If we can't, then we should check to make
sure XORShiftRandom behaves nicely when given a seed of 0 (which is the
behavior after this PR's JIRA).
> Pass random seed to spark.ml DecisionTree*
> ------------------------------------------
>
> Key: SPARK-9722
> URL: https://issues.apache.org/jira/browse/SPARK-9722
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Joseph K. Bradley
> Assignee: Yu Ishikawa
> Priority: Trivial
> Fix For: 1.6.0
>
>
> Trees use XORShiftRandom when binning continuous features. Currently, they
> use a fixed seed of 1. They should accept a random seed param and use that
> instead.
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