From issues-return-72861-archive-asf-public=cust-asf.ponee.io@commons.apache.org Mon Mar 25 23:15:02 2019 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id 0DDA418064C for ; Tue, 26 Mar 2019 00:15:01 +0100 (CET) Received: (qmail 25580 invoked by uid 500); 25 Mar 2019 23:15:01 -0000 Mailing-List: contact issues-help@commons.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: issues@commons.apache.org Delivered-To: mailing list issues@commons.apache.org Received: (qmail 25564 invoked by uid 99); 25 Mar 2019 23:15:01 -0000 Received: from mailrelay1-us-west.apache.org (HELO mailrelay1-us-west.apache.org) (209.188.14.139) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 25 Mar 2019 23:15:01 +0000 Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id 9309DE2799 for ; Mon, 25 Mar 2019 23:15:00 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 3D4612459C for ; Mon, 25 Mar 2019 23:15:00 +0000 (UTC) Date: Mon, 25 Mar 2019 23:15:00 +0000 (UTC) From: "Eric Barnhill (JIRA)" To: issues@commons.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/STATISTICS-7?page=3Dcom.atlassi= an.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D16= 801221#comment-16801221 ]=20 Eric Barnhill commented on STATISTICS-7: ---------------------------------------- Hello [~virendrasinghrp], my idea was to port the classes from commons.math= 4.stat but we would welcome someone to also port the commons.math4.distribu= tion classes as well. Is that what you meant, when you said you saw them al= ready 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=C2=A0new component aims to be a library of commons statistics functio= ns synchronized with the latest developments in the Java language, in parti= cular 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, streamin= g, and other producer and consumer functions to ensure the statistical meth= ods run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrat= e Java programming, functional programming, algorithm design, and data scie= nce skills and receive authorship on=C2=A0a commons project that is likely = to be widely used. > The ideal contributor will also be able to help with important architectu= ral decision making. The old source of these libraries, commons-math, grew = too large, hierarchically complex and interdependent for the commons missio= n. The developers on this project need to make architectural choices that w= ill enable the statiscal code to be lightweight and reusable, with a minimu= m of outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)