[ 
https://issues.apache.org/jira/browse/MADLIB-1299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16766556#comment-16766556
 ] 

Pratik edited comment on MADLIB-1299 at 2/12/19 11:02 PM:
----------------------------------------------------------

Thank you, Rahul, for helping out with the ticket. I was able to implement the 
baseline ref with the above approach. :)

 

We could close the ticket. Let me know if anything needs to be done to mark it 
solved.


was (Author: pratikpawar):
Thank you, Rahul, for helping out with the ticket. I was able to implement the 
baseline ref with the above approach. :)

 

We could close the ticket.

> Baseline referencing for independent variables
> ----------------------------------------------
>
>                 Key: MADLIB-1299
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1299
>             Project: Apache MADlib
>          Issue Type: Improvement
>          Components: Module: Linear Regression, Module: Logistic Regression, 
> Module: Multinomial Logistic Regression
>            Reporter: Pratik
>            Assignee: Rahul Iyer
>            Priority: Minor
>
> When we perform regression between dep vs independent variables currently 
> function does not support control over baseline reference for the independent 
> variable. 
> I am not sure if Madlib does it internally with 1.15.1 release. If that is 
> the case it would be awesome to have documentation and get the return value 
> of the baseline variable.
> [https://stackoverflow.com/questions/54523454/linear-regression-baseline-referencing-madlib]
>  
> R way to do it - 
> https://stackoverflow.com/questions/3872070/how-to-force-r-to-use-a-specified-factor-level-as-reference-in-a-regression?noredirect=1&lq=1
>  
>  
>  



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to