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https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16801241#comment-16801241
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Virendra Singh commented on STATISTICS-7:
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We need to port classes from "commons.math4.stat" which are *not* coded using 
Functional programming concept(I just saw the code).
We need to port those classes and code using Functional programming concept 
which is introduced in Java 8.(As, functional programming is used for 
mathematical computations and when concurrency and parallelism are required)
Am I correct?

> 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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