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Posted to issues@spark.apache.org by "Xin Ren (JIRA)" <ji...@apache.org> on 2017/03/14 07:06:41 UTC
[jira] [Commented] (SPARK-19282) RandomForestRegressionModel
summary should expose getMaxDepth
[ https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15923701#comment-15923701 ]
Xin Ren commented on SPARK-19282:
---------------------------------
Hi Nick, just double check I understand you correctly, you'd like to expose parameter `maxDepth` for python module too, right?
> 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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