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https://issues.apache.org/jira/browse/MADLIB-1299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16762162#comment-16762162
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Rahul Iyer commented on MADLIB-1299:
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@ [~pratikpawar]
By baseline reference, do you mean the reference for dummy encoding of a
categorical independent variable?
If yes, then MADlib expects that the data has been encoded before passing it to
the regression methods. See [Encoding Categorical
Variables|http://madlib.apache.org/docs/latest/group__grp__encode__categorical.html]
for the procedure to dummy encode. The {{value_to_drop}} parameter provides
the functionality for user-defined reference level.
> 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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