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Posted to user@spark.apache.org by Chandan Verma <ch...@citiustech.com> on 2016/01/18 09:45:02 UTC

Extracting p values in Logistic regression using mllib scala

Hi,

 

Can anyone help me to extract p-values from a logistic regression model
using mllib and scala.

 

Thanks

Chandan Verma




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Re: Extracting p values in Logistic regression using mllib scala

Posted by Yanbo Liang <yb...@gmail.com>.
Hi Chandan,

MLlib only support getting p-value, t-value from Linear Regression model,
other models such as Logistic Model are not supported currently. This
feature is under development and will be released at the next version(Spark
2.0).

Thanks
Yanbo

2016-01-18 16:45 GMT+08:00 Chandan Verma <ch...@citiustech.com>:

> Hi,
>
>
>
> Can anyone help me to extract p-values from a logistic regression model
> using mllib and scala.
>
>
>
> Thanks
>
> Chandan Verma
> ===========================================================================================================================================================================================
> DISCLAIMER: The information contained in this message (including any
> attachments) is confidential and may be privileged. If you have received it
> by mistake please notify the sender by return e-mail and permanently delete
> this message and any attachments from your system. Any dissemination, use,
> review, distribution, printing or copying of this message in whole or in
> part is strictly prohibited. Please note that e-mails are susceptible to
> change. CitiusTech shall not be liable for the improper or incomplete
> transmission of the information contained in this communication nor for any
> delay in its receipt or damage to your system. CitiusTech does not
> guarantee that the integrity of this communication has been maintained or
> that this communication is free of viruses, interceptions or interferences.
> ====================================================================================================================================================================
>
>