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https://issues.apache.org/jira/browse/SPARK-17163?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15436335#comment-15436335
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DB Tsai commented on SPARK-17163:
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I voted for merging into one interface as well. Since binary LOR can be
represented as matrix like MLOR we can always return matrix and intercepts for
BLOR and MLOR. For BLOR, I feel like flatten the matrix and set intercept as
zero is too hacky, and we could just throw exception. Finally, we can set two
classes problem default to pivoting, and classes larger than 2 use MLOR without
pivoting. I like what Yanbo suggested, and we can default to auto. Users can
make it binomial or multinomial. Thanks.
> Decide on unified multinomial and binary logistic regression interfaces
> -----------------------------------------------------------------------
>
> Key: SPARK-17163
> URL: https://issues.apache.org/jira/browse/SPARK-17163
> Project: Spark
> Issue Type: Sub-task
> Components: ML, MLlib
> Reporter: Seth Hendrickson
>
> Before the 2.1 release, we should finalize the API for logistic regression.
> After SPARK-7159, we have both LogisticRegression and
> MultinomialLogisticRegression models. This may be confusing to users and, is
> a bit superfluous since MLOR can do basically all of what BLOR does. We
> should decide if it needs to be changed and implement those changes before 2.1
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