Re: Feature importance for RandomForestRegressor in Spark 1.5

Hi Robin, #1 This feature is available from Spark 1.5.0. #2 You should use the new ML rather than the old MLlib package to train the Random Forest model and get featureImportances, because it was only exposed at ML package. You can refer the documents:

Feature importance for RandomForestRegressor in Spark 1.5

Hello, I have a couple of quick questions about this pull request, which adds feature importance calculations to the random forests in MLLib. https://github.com/apache/spark/pull/7838 1. Can someone help me determine the Spark version where this is first available? (1.5.0? 1.5.1?) 2.

Re: Feature importance for RandomForestRegressor in Spark 1.5

re 1. The pull requests reference the JIRA ticket in this case https://issues.apache.org/jira/browse/SPARK-5133 . The JIRA says it was released in 1.5. --- Robin East