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From "Salman Hussain (JIRA)" <>
Subject [jira] [Comment Edited] (STATISTICS-7) Stream-based Java statistical processing
Date Thu, 28 Mar 2019 00:29:00 GMT


Salman Hussain edited comment on STATISTICS-7 at 3/28/19 12:28 AM:

Hey [~ericbarnhill], sounds good! It might be beneficial to start with the seemingly slightly
easier parts of summary statistics before moving onto either more obscure parts or the regression
library that seems more interesting! Of course timescale is important when making the proposal,
could you shed some light on the estimated time you reckon each part could take? I will explore
some of the topics you have mentioned and draw up a proposal. Will you be able to have a read
through this before I submit to GSoC? Thanks! 

> 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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