[ https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-19282: ------------------------------ Fix Version/s: (was: 2.2.0) > 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 > > 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