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Posted to issues@spark.apache.org by "Felix Cheung (JIRA)" <ji...@apache.org> on 2017/03/12 19:18:04 UTC
[jira] [Updated] (SPARK-19282) R RandomForestRegressionModel
summary should expose getMaxDepth
[ https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Felix Cheung updated SPARK-19282:
---------------------------------
Summary: R RandomForestRegressionModel summary should expose getMaxDepth (was: RandomForestRegressionModel summary should expose getMaxDepth)
> R RandomForestRegressionModel summary should expose getMaxDepth
> ---------------------------------------------------------------
>
> Key: SPARK-19282
> URL: https://issues.apache.org/jira/browse/SPARK-19282
> Project: Spark
> Issue Type: Improvement
> Components: ML, 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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