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From "Felix Cheung (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-19282) RandomForestRegressionModel should expose getMaxDepth
Date Sun, 12 Mar 2017 19:17:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Felix Cheung resolved SPARK-19282.
----------------------------------
          Resolution: Fixed
       Fix Version/s: 2.2.0
    Target Version/s: 2.2.0

> RandomForestRegressionModel should expose getMaxDepth
> -----------------------------------------------------
>
>                 Key: SPARK-19282
>                 URL: https://issues.apache.org/jira/browse/SPARK-19282
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, SparkR
>    Affects Versions: 2.1.0
>            Reporter: Nick Lothian
>            Assignee: Xin Ren
>            Priority: Minor
>             Fix For: 2.2.0
>
>
> 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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