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https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16801221#comment-16801221
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Eric Barnhill commented on STATISTICS-7:
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Hello [~virendrasinghrp], my idea was to port the classes from 
commons.math4.stat but we would welcome someone to also port the 
commons.math4.distribution classes as well. Is that what you meant, when you 
said you saw them already programmed?

Some of your English was not clear (by the way I am happy to help you with 
English too.) and I am not sure I understand your question. We are looking for 
up to date implementations of these Java statistical libraries but also the 
deceloper will need to make some architectural decisions, so really I think it 
is a rich project. I had added some more information to the ticket so that 
everyone can see it. Does this information address your question?

> 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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