[jira] [Commented] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark

["Yan Facai (颜发才 JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16025949#comment-16025949 ] 

Yan Facai (颜发才) commented on SPARK-20498:
-----------------------------------------

[~iamshrek] Hi, Xin Ren.
As the task is quite easy, 
if you are a little busy, I'm glad to work on it.
Is it OK?




> RandomForestRegressionModel should expose getMaxDepth in PySpark
> ----------------------------------------------------------------
>
>                 Key: SPARK-20498
>                 URL: https://issues.apache.org/jira/browse/SPARK-20498
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>    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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