[
https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley updated SPARK-20498:
--------------------------------------
Component/s: (was: SparkR)
> 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()}}
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
