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https://issues.apache.org/jira/browse/SPARK-12808?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15097013#comment-15097013
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Joseph K. Bradley commented on SPARK-12808:
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This is already supported via the combination of the RFormula transformer and
the GLM algorithms, though with a different API than in R. If you are talking
about a more R-like API, I believe that is covered by [SPARK-11106], which will
require some more discussion before we implement it. If it's OK with you, I'd
like to close this issue and ask you to please comment on [SPARK-11106] instead
of here.
> Formula based GLM in PySpark
> ----------------------------
>
> Key: SPARK-12808
> URL: https://issues.apache.org/jira/browse/SPARK-12808
> Project: Spark
> Issue Type: New Feature
> Components: MLlib, PySpark
> Reporter: Shubhanshu Mishra
> Priority: Minor
> Labels: GLM, mllib, pyspark
>
> I believe PySpark's mllib module should support a GLM feature with also
> includes defining models using a formula. This is done in a python package
> called statsmodels
> http://statsmodels.sourceforge.net/devel/example_formulas.html
> The formula feature can be implemented using the python module patsy.
> Currently, RSpark supports a GLM module with formula feature.
> I can give a shot implementing the feature.
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