[ https://issues.apache.org/jira/browse/SPARK-29232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zhengruifeng reassigned SPARK-29232: ------------------------------------ Assignee: Huaxin Gao > RandomForestRegressionModel does not update the parameter maps of the > DecisionTreeRegressionModels underneath > ------------------------------------------------------------------------------------------------------------- > > Key: SPARK-29232 > URL: https://issues.apache.org/jira/browse/SPARK-29232 > Project: Spark > Issue Type: Bug > Components: ML > Affects Versions: 2.4.0 > Reporter: Jiaqi Guo > Assignee: Huaxin Gao > Priority: Major > > We trained a RandomForestRegressionModel, and tried to access the trees. Even > though the DecisionTreeRegressionModel is correctly built with the proper > parameters from random forest, the parameter map is not updated, and still > contains only the default value. > For example, if a RandomForestRegressor was trained with maxDepth of 12, then > accessing the tree information, extractParamMap still returns the default > values, with maxDepth=5. Calling the depth itself of > DecisionTreeRegressionModel returns the correct value of 12 though. > This creates issues when we want to access each individual tree and build the > trees back up for the random forest estimator. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org