Return-Path: X-Original-To: apmail-flink-dev-archive@www.apache.org Delivered-To: apmail-flink-dev-archive@www.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 8549A17B87 for ; Tue, 31 Mar 2015 15:45:51 +0000 (UTC) Received: (qmail 36826 invoked by uid 500); 31 Mar 2015 15:45:17 -0000 Delivered-To: apmail-flink-dev-archive@flink.apache.org Received: (qmail 36774 invoked by uid 500); 31 Mar 2015 15:45:17 -0000 Mailing-List: contact dev-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 dev@flink.apache.org Received: (qmail 36763 invoked by uid 99); 31 Mar 2015 15:45:17 -0000 Received: from nike.apache.org (HELO nike.apache.org) (192.87.106.230) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 31 Mar 2015 15:45:17 +0000 X-ASF-Spam-Status: No, hits=-2000.0 required=5.0 tests=ALL_TRUSTED,T_RP_MATCHES_RCVD X-Spam-Check-By: apache.org Received: from [140.211.11.3] (HELO mail.apache.org) (140.211.11.3) by apache.org (qpsmtpd/0.29) with SMTP; Tue, 31 Mar 2015 15:44:56 +0000 Received: (qmail 34135 invoked by uid 99); 31 Mar 2015 15:44:53 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 31 Mar 2015 15:44:53 +0000 Date: Tue, 31 Mar 2015 15:44:53 +0000 (UTC) From: "Till Rohrmann (JIRA)" To: dev@flink.incubator.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Created] (FLINK-1809) Add standard scaler to ML library MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 X-Virus-Checked: Checked by ClamAV on apache.org Till Rohrmann created FLINK-1809: ------------------------------------ Summary: Add standard scaler to ML library Key: FLINK-1809 URL: https://issues.apache.org/jira/browse/FLINK-1809 Project: Flink Issue Type: Improvement Components: Machine Learning Library Reporter: Till Rohrmann Many ML algorithms require the input data to have mean 0 and a variance 1 for each individual feature [1]. Therefore, a {{Transformer}} which achieves exactly that would be a valuable addition to the machine learning library. Resources: [1] [http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html] -- This message was sent by Atlassian JIRA (v6.3.4#6332)