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From "Xin Ren (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19282) RandomForestRegressionModel summary should expose getMaxDepth
Date Wed, 19 Apr 2017 06:55:41 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15974188#comment-15974188
] 

Xin Ren commented on SPARK-19282:
---------------------------------

sorry [~bryanc] I'm just back from vacation...

and sure I'd love to help, just let me know :)

> RandomForestRegressionModel summary should expose getMaxDepth
> -------------------------------------------------------------
>
>                 Key: SPARK-19282
>                 URL: https://issues.apache.org/jira/browse/SPARK-19282
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark, SparkR
>    Affects Versions: 2.1.0
>            Reporter: Nick Lothian
>            Assignee: Xin Ren
>            Priority: Minor
>
> Currently it isn't clear hot to get the max depth of a RandomForestRegressionModel (eg,
after doing a grid search)
> It is possible to call
> {{regressor._java_obj.getMaxDepth()}} 
> but most other decision trees allow
> {{regressor.getMaxDepth()}} 



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