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Date: Wed, 14 Oct 2015 20:37:38 -0700
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 <CAFy6k121O=f_D1yu4fp3j=q7Gmv50yOhguNY5aEaMyRyMqSn3g@mail.gmail.com>
Subject: Sensitivity analysis using Spark MlLib
From: Sourav Mazumder <sourav.mazumder00@gmail.com>
To: user <user@spark.apache.org>
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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

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<div dir=3D"ltr"><div><div><div>Is there any algorithm implementated in Spa=
rk MLLib which supports parameter sensitivity analysis ?<br><br></div>After=
 the model is created using a training data set, the model should be able t=
o tell among the various features used which are the ones most important (f=
rom the perspective of their contribution to the dependent variable) ?<br><=
br></div>Regards,<br></div>Sourav<br></div>

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