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https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15830962#comment-15830962
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Nick Lothian commented on SPARK-19282:
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The docs say it is available in Java and Scala.
In Java:
https://spark.apache.org/docs/2.1.0/api/java/org/apache/spark/ml/regression/RandomForestRegressionModel.html#getMaxDepth()
In Scala:
https://spark.apache.org/docs/2.1.0/api/scala/index.html#org.apache.spark.ml.regression.RandomForestRegressionModel@maxDepth:org.apache.spark.ml.param.IntParam
I don't know how to find the RandomForestRegressionModel in the R docs. R does
take the parameter, but it is unclear if it exposes it on the model.
> 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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