Any way to find out feature importance in Spark SVM?

[Natalia Connolly <na...@gmail.com>]

Hello,

    While running an SVMClassifier in spark, is there any way to print out
the most important features the model selected?  I see there's a way to
print out the weights but I am not sure how to associate them with the
input features, by name or in any other way.  Any help would be appreciated.

    I am using spark 1.2.1 and my code is in Java.

    Thanks!

    Natalia

Re: Any way to find out feature importance in Spark SVM?

[Xiangrui Meng <me...@gmail.com>]

You can compute the standard deviations of the training data using
Statistics.colStats and then compare them with model coefficients to
compute feature importance. -Xiangrui

On Fri, Mar 13, 2015 at 11:35 AM, Natalia Connolly
<na...@gmail.com> wrote:
> Hello,
>
>     While running an SVMClassifier in spark, is there any way to print out
> the most important features the model selected?  I see there's a way to
> print out the weights but I am not sure how to associate them with the input
> features, by name or in any other way.  Any help would be appreciated.
>
>     I am using spark 1.2.1 and my code is in Java.
>
>     Thanks!
>
>     Natalia
>

---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
For additional commands, e-mail: user-help@spark.apache.org