Re: MLlib: Feature Importances API

Hi Asim, The "featureImportances" is only exposed at ML not MLlib. You need to update your code to use RandomForestClassifier of ML to train and get one RandomForestClassificationModel. Then you can call RandomForestClassificationModel.featureImportances

Re: MLlib: Feature Importances API

Hi Asim, I think it's not necessary to back port featureImportances to mllib.tree.RandomForest. You can use ml.RandomForestClassifier and ml.RandomForestRegressor directly. Yanbo 2015-12-17 19:39 GMT+08:00 Asim Jalis : > Yanbo, > > Thanks for the reply. > > Is there a JIRA

Re: MLlib: Feature Importances API

Yanbo, Thanks for the reply. Is there a JIRA for exposing featureImportances on org.apache.spark.mllib.tree.RandomForest?, or could you create one? I am unable to create an issue on JIRA against Spark. Thanks. Asim On Thu, Dec 17, 2015 at 12:07 AM, Yanbo Liang wrote: >

MLlib: Feature Importances API

I wanted to use get feature importances related to a Random Forest as described in this JIRA: https://issues.apache.org/jira/browse/SPARK-5133 However, I don’t see how to call this. I don't see any methods exposed on org.apache.spark.mllib.tree.RandomForest How can I get featureImportances when