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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2018/01/06 23:01:02 UTC
[jira] [Updated] (SPARK-20498) RandomForestRegressionModel should
expose getMaxDepth in PySpark
[ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-20498:
--------------------------------------
Shepherd: Joseph K. Bradley
> 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()}}
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