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https://issues.apache.org/jira/browse/SPARK-17163?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15436191#comment-15436191
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Yanbo Liang edited comment on SPARK-17163 at 8/25/16 3:22 AM:
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Exposing a {{family}} or similar parameter sounds good to me.
One more question:
{quote}
When the family is set to "binomial" we produce normal logistic regression with
pivoting and when it is set to "multinomial" (default) it produces logistic
regression with pivoting.
{quote}
Should it be {{when it is set to "multinomial" (default) it produces logistic
regression {color:red}without{color} pivoting}} ? Thanks!
was (Author: yanboliang):
Exposing a {{family}} or similar parameter sounds good to me.
One question:
{quote}
When the family is set to "binomial" we produce normal logistic regression with
pivoting and when it is set to "multinomial" (default) it produces logistic
regression with pivoting.
{quote}
Should it be {{when it is set to "multinomial" (default) it produces logistic
regression {color:red}without{color} pivoting}} ? 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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