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From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-2013) Create generalized linear model framework
Date Thu, 14 May 2015 14:54:00 GMT

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

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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