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From "Eric Barnhill (JIRA)" <>
Subject [jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
Date Mon, 25 Mar 2019 23:15:00 GMT


Eric Barnhill commented on STATISTICS-7:

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:
>             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
> 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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