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https://issues.apache.org/jira/browse/FLINK-2013?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14558865#comment-14558865
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Theodore Vasiloudis commented on FLINK-2013:
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Hello Ajay,
most of the GLMs have already been implemented in the current code through the
optimization framework, so there's not a lot of work to be done on this issue.
There many other open issues in the ML library that are still unassigned
however, you can take a [look
here|https://issues.apache.org/jira/browse/FLINK-1748?jql=project%20%3D%20FLINK%20AND%20component%20%3D%20%22Machine%20Learning%20Library%22%20AND%20status%20%3D%20Open%20ORDER%20BY%20priority%20DESC]
and see if you find anything interesting.
> Create generalized linear model framework
> -----------------------------------------
>
> Key: FLINK-2013
> URL: https://issues.apache.org/jira/browse/FLINK-2013
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Theodore Vasiloudis
> Assignee: Theodore Vasiloudis
> Labels: ML
>
> [Generalized linear
> models|http://en.wikipedia.org/wiki/Generalized_linear_model] (GLMs) provide
> an abstraction for many learning models that can be used for regression and
> classification tasks.
> Some example GLMs are linear regression, logistic regression, LASSO and ridge
> regression.
> The goal for this JIRA is to provide interfaces for the set of common
> properties and functions these models share.
> In order to achieve that, a design pattern similar to the one that
> [sklearn|http://scikit-learn.org/stable/modules/linear_model.html] and
> [MLlib|http://spark.apache.org/docs/1.3.0/mllib-linear-methods.html] employ
> will be used.
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