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https://issues.apache.org/jira/browse/FLINK-1743?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15976248#comment-15976248
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ASF GitHub Bot commented on FLINK-1743:
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Github user mtunique commented on the issue:
https://github.com/apache/flink/pull/3428
@thvasilo
- Add `MultipleLinearRegression ` to provide interfaces for the set of
common properties and functions generalized linear models share.
- Change `LogisticLoss` to let it be with label in {0, 1}
- `LogisticLinerRegression` test: This test is originally from the Apache
Spark project. Training Data: Weights are created randomly. Label is calculated
by given scale and offset.
> 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: Tao Meng
> 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]
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