You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "David E Drummond (JIRA)" <ji...@apache.org> on 2016/04/22 07:25:13 UTC
[jira] [Commented] (FLINK-1743) Add multinomial logistic regression
to machine learning library
[ https://issues.apache.org/jira/browse/FLINK-1743?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15253364#comment-15253364 ]
David E Drummond commented on FLINK-1743:
-----------------------------------------
[~trohrmann@apache.org]
Are there any updates on this issue? I would like to use this as a base for LogitBoost (FLINK-1749), and as an important algorithm in it's own right. If this is still unresolved, then I would be happy to help with this issue by implementing the algorithm discussed in the previous reference [1].
> Add multinomial logistic regression to machine learning library
> ---------------------------------------------------------------
>
> Key: FLINK-1743
> URL: https://issues.apache.org/jira/browse/FLINK-1743
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Ozturk Gokal
> Labels: ML
>
> Multinomial logistic regression [1] would be good first classification algorithm which can classify multiple classes.
> Resources:
> [1] [http://en.wikipedia.org/wiki/Multinomial_logistic_regression]
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)