Return-Path: X-Original-To: apmail-flink-issues-archive@minotaur.apache.org Delivered-To: apmail-flink-issues-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 7F33B10BF5 for ; Thu, 14 May 2015 14:54:00 +0000 (UTC) Received: (qmail 70070 invoked by uid 500); 14 May 2015 14:54:00 -0000 Delivered-To: apmail-flink-issues-archive@flink.apache.org Received: (qmail 70034 invoked by uid 500); 14 May 2015 14:54:00 -0000 Mailing-List: contact issues-help@flink.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@flink.apache.org Delivered-To: mailing list issues@flink.apache.org Received: (qmail 70024 invoked by uid 99); 14 May 2015 14:54:00 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 14 May 2015 14:54:00 +0000 Date: Thu, 14 May 2015 14:54:00 +0000 (UTC) From: "Theodore Vasiloudis (JIRA)" To: issues@flink.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (FLINK-2013) Create generalized linear model framework MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/FLINK-2013?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Theodore Vasiloudis updated FLINK-2013: --------------------------------------- Description: [Generalized linear models|http://en.wikipedia.org/wiki/Generalized_linear_model] (GLMs) provide an abstraction for many learning models that can be used for regression and classification tasks. Some example GLMs are linear regression, logistic regression, LASSO and ridge regression. The goal for this JIRA is to provide interfaces for the set of common properties and functions these models share. In order to achieve that, a design pattern similar to the one that [sklearn|http://scikit-learn.org/stable/modules/linear_model.html] and [MLlib|http://spark.apache.org/docs/1.3.0/mllib-linear-methods.html] employ will be used. was: [Generalized linear models|http://en.wikipedia.org/wiki/Generalized_linear_model] (GLMs) provide an abstraction for many learning models that can be used for regression and classification tasks. Some example GLMs are linear regression, logistic regression, LASSO and ridge regression. The goal for this JIRA is to provide interfaces for the set of common properties and functions these models share. The goal would be to have a design pattern similar to the one that [sklearn|http://scikit-learn.org/stable/modules/linear_model.html] and [MLlib|http://spark.apache.org/docs/1.3.0/mllib-linear-methods.html] uses. > Create generalized linear model framework > ----------------------------------------- > > Key: FLINK-2013 > URL: https://issues.apache.org/jira/browse/FLINK-2013 > Project: Flink > Issue Type: New Feature > Components: Machine Learning Library > Reporter: Theodore Vasiloudis > Assignee: Theodore Vasiloudis > Labels: ML > > [Generalized linear models|http://en.wikipedia.org/wiki/Generalized_linear_model] (GLMs) provide an abstraction for many learning models that can be used for regression and classification tasks. > Some example GLMs are linear regression, logistic regression, LASSO and ridge regression. > The goal for this JIRA is to provide interfaces for the set of common properties and functions these models share. > In order to achieve that, a design pattern similar to the one that [sklearn|http://scikit-learn.org/stable/modules/linear_model.html] and [MLlib|http://spark.apache.org/docs/1.3.0/mllib-linear-methods.html] employ will be used. -- This message was sent by Atlassian JIRA (v6.3.4#6332)