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Posted to user@spark.apache.org by Sourav Mazumder <so...@gmail.com> on 2015/07/07 01:46:09 UTC

Random Forest in MLLib

Hi,

Is there a way to get variable importance for RandomForest model created
using MLLib ? This way one can know among multiple features which are the
one contributing the most to the dependent variable.

Regards,
Sourav

Re: Random Forest in MLLib

Posted by Feynman Liang <fl...@databricks.com>.

Not yet, though work on this feature has begun (SPARK-5133
<https://issues.apache.org/jira/browse/SPARK-5133>)

On Mon, Jul 6, 2015 at 4:46 PM, Sourav Mazumder <sourav.mazumder00@gmail.com
> wrote:

> Hi,
>
> Is there a way to get variable importance for RandomForest model created
> using MLLib ? This way one can know among multiple features which are the
> one contributing the most to the dependent variable.
>
> Regards,
> Sourav
>