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Gilles commented on STATISTICS-7: --------------------------------- [~Salman], In your proposal, you mention * T-distribution * MathArrays * Precision Some have been moved to ["Commons Numbers"|http://commons.apache.org/proper/commons-numbers/] or ["Commons Statistics"|http://commons.apache.org/proper/commons-statistics/modules.html]. > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)