[jira] [Comment Edited] (STATISTICS-8) Implementation of regression libraries within common-statistics framework

["Ben Nguyen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/STATISTICS-8?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16809592#comment-16809592 ] 

Ben Nguyen edited comment on STATISTICS-8 at 4/4/19 7:36 AM:
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Hello,

I have just submitted my first and only draft proposal named "New Regression Library Architecture Implementation using Stream-based Java Statistical Processing."

Thank you in advance for your time and any feedback you can give me.

-Ben


was (Author: benn):
Hello,

I have just submitted my draft proposal named "New Regression Library Architecture Implementation using Stream-based Java Statistical Processing"

I thank you for any feedback you can give me in advance.

-Ben

> Implementation of regression libraries within common-statistics framework
> -------------------------------------------------------------------------
>
>                 Key: STATISTICS-8
>                 URL: https://issues.apache.org/jira/browse/STATISTICS-8
>             Project: Apache Commons Statistics
>          Issue Type: Task
>            Reporter: Eric Barnhill
>            Priority: Major
>
> Apache commons is one of the most widely used resources by Java programmers around the world. Data related applications are soaring and Java is one of the most commonly used languages for data engineering. Consequently the commons-statistics library, currently under development, is likely to find a widespread audience.
> For this project we aim to implement regression methods, arguably the most widely used techniques in statistics and machine learning, within the Apache commons framework, in particular within the new commons-statistics library.
> The assignee will:
>  * Use core functionality from the regression sub-libraries of the deprecated commons-math 4 framework as a starting point
>  * Create a new, standalone commons component for regression statistics, focusing first on linear and logistic regression
>  * Make architectural and design decisions in the commons philosophy, that is, lightweight standalone components easy to understand and use by a wide range of Java developers (i.e. not a large, omnibus mathematical library with many degrees of abstraction)
>  * Draw inspiration from widely used libraries in scikit-learn and R to design an up-to-date statistics package
>  * Design unit testing and documentation for these libraries
> Particularly challenging design decisions include how to incorporate core matrix libraries with a minimum of dependencies and redundancies.



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