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From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2013) Create generalized linear model framework
Date Tue, 26 May 2015 08:44:17 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2013?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14558865#comment-14558865

Theodore Vasiloudis commented on FLINK-2013:

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
> 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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