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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19282) RandomForestRegressionModel should expose getMaxDepth
Date Wed, 08 Mar 2017 08:57:38 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15900938#comment-15900938
] 

Apache Spark commented on SPARK-19282:
--------------------------------------

User 'keypointt' has created a pull request for this issue:
https://github.com/apache/spark/pull/17207

> RandomForestRegressionModel should expose getMaxDepth
> -----------------------------------------------------
>
>                 Key: SPARK-19282
>                 URL: https://issues.apache.org/jira/browse/SPARK-19282
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.1.0
>            Reporter: Nick Lothian
>            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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