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https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16801233#comment-16801233
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Virendra Singh commented on STATISTICS-7:
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No [~ericbarnhill] not from commons.math4.distribution.

The distribution classes are on 
[org.apache.commons.statistics.distribution|https://commons.apache.org/proper/commons-statistics/xref/org/apache/commons/statistics/distribution/package-frame.html]

Here is the link: 
https://commons.apache.org/proper/commons-statistics/xref/index.html

> Stream-based Java statistical processing
> ----------------------------------------
>
>                 Key: STATISTICS-7
>                 URL: https://issues.apache.org/jira/browse/STATISTICS-7
>             Project: Apache Commons Statistics
>          Issue Type: New Feature
>            Reporter: Eric Barnhill
>            Priority: Major
>              Labels: GSoC2019, gsoc2019, statistics, streams
>
> The new component aims to be a library of commons statistics functions 
> synchronized with the latest developments in the Java language, in particular 
> Java's functional programming syntax.
> The library will make commonly used statistical functions available to an end 
> user through a simple grammar comparable to commons-math-statistics or 
> scikit-learn, while under the hood will implement Java's mapping, streaming, 
> and other producer and consumer functions to ensure the statistical methods 
> run optimally in new Java implementations.
> Developers working on the project will have the opportunity to demonstrate 
> Java programming, functional programming, algorithm design, and data science 
> skills and receive authorship on a commons project that is likely to be 
> widely used.
> The ideal contributor will also be able to help with important architectural 
> decision making. The old source of these libraries, commons-math, grew too 
> large, hierarchically complex and interdependent for the commons mission. The 
> developers on this project need to make architectural choices that will 
> enable the statiscal code to be lightweight and reusable, with a minimum of 
> outside dependencies while avoiding redundancy.



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