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From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2013) Create generalized linear model framework
Date Fri, 15 May 2015 20:18:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2013?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14546115#comment-14546115

Theodore Vasiloudis commented on FLINK-2013:

I've started working on this, based off Till's branch for chainable Estimators and Predictors.
You can take a look [here|https://github.com/thvasilo/flink/tree/glm]. The GLM code is in
the experimental package.

> 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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