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Posted to user@spark.apache.org by Sourav Mazumder <so...@gmail.com> on 2015/10/15 05:37:38 UTC

Sensitivity analysis using Spark MlLib

Is there any algorithm implementated in Spark MLLib which supports
parameter sensitivity analysis ?

After the model is created using a training data set, the model should be
able to tell among the various features used which are the ones most
important (from the perspective of their contribution to the dependent
variable) ?

Regards,
Sourav