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https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15925159#comment-15925159
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Bryan Cutler commented on SPARK-19282:
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[~iamshrek] I am currently working on SPARK-10931 and I'll create sub-tasks
once we figure out the best way to proceed. There will be quite a bit of work
to expose all parameters, so help would be much appreciated!
> 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
> 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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