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https://issues.apache.org/jira/browse/FLINK-2013?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Theodore Vasiloudis updated FLINK-2013:
---------------------------------------
    Description: 
[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.

  was:
[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. 
The goal would be to have 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] uses.


> 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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