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Posted to issues@madlib.apache.org by "Pratik (JIRA)" <ji...@apache.org> on 2019/02/12 23:03:00 UTC

[jira] [Comment Edited] (MADLIB-1299) Baseline referencing for independent variables

    [ 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 
>  
>  



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