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Posted to issues@spark.apache.org by "Daniel Darabos (JIRA)" <ji...@apache.org> on 2016/01/21 15:10:39 UTC
[jira] [Commented] (SPARK-2309) Generalize the binary logistic
regression into multinomial logistic regression
[ https://issues.apache.org/jira/browse/SPARK-2309?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15110628#comment-15110628 ]
Daniel Darabos commented on SPARK-2309:
---------------------------------------
https://github.com/apache/spark/blob/v1.6.0/docs/ml-classification-regression.md#logistic-regression still says:
> The current implementation of logistic regression in spark.ml only supports binary classes. Support for multiclass regression will be added in the future.
That can be removed now, right?
> Generalize the binary logistic regression into multinomial logistic regression
> ------------------------------------------------------------------------------
>
> Key: SPARK-2309
> URL: https://issues.apache.org/jira/browse/SPARK-2309
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: DB Tsai
> Assignee: DB Tsai
> Priority: Critical
> Fix For: 1.3.0
>
>
> Currently, there is no multi-class classifier in mllib. Logistic regression can be extended to multinomial one straightforwardly.
> The following formula will be implemented.
> http://www.slideshare.net/dbtsai/2014-0620-mlor-36132297/25
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