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https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16801603#comment-16801603
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Gilles commented on STATISTICS-7:
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Hi.
Contributors are most wanted.
The idea behind the new "Commons Statistics" component is to offer the same
statistical tools as exist under the {{org.apache.commons.math4.stat}} package
of ["Commons
Math"|http://commons.apache.org/proper/commons-math/apidocs/index.html] (see
also STATISTICS-5) but with the opportunity for a complete overhaul in order to
fix design issues that have existed for years (see e.g. [this list of JIRA
reports|https://issues.apache.org/jira/issues/?jql=project%20%3D%20MATH%20AND%20status%20%3D%20Open%20AND%20text%20~%20%22stat%22]),
as well as for a modern API (Java 8+).
There isn't yet any specific plan or priorities; anything can be proposed to
start a discussion, and people with an interest in using these functionalities
(i.e. having real-life problems to solve) are especially welcome to drive the
discussions.
> 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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