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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/29 22:14:49 UTC

[jira] [Commented] (SPARK-16307) Improve testing for DecisionTree variances

    [ https://issues.apache.org/jira/browse/SPARK-16307?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15355896#comment-15355896 ] 

Apache Spark commented on SPARK-16307:
--------------------------------------

User 'MechCoder' has created a pull request for this issue:
https://github.com/apache/spark/pull/13981

> Improve testing for DecisionTree variances
> ------------------------------------------
>
>                 Key: SPARK-16307
>                 URL: https://issues.apache.org/jira/browse/SPARK-16307
>             Project: Spark
>          Issue Type: Test
>            Reporter: Manoj Kumar
>            Priority: Minor
>
> The current test assumes that Impurity.calculate() returns the variance correctly. A better approach would be to test if the variance returned equals the variance that we can manually verify on a toy data and tree.



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