From issues-return-187527-archive-asf-public=cust-asf.ponee.io@spark.apache.org Wed Mar 21 05:45:05 2018 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 3C8CB18064A for ; Wed, 21 Mar 2018 05:45:05 +0100 (CET) Received: (qmail 36623 invoked by uid 500); 21 Mar 2018 04:45:03 -0000 Mailing-List: contact issues-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list issues@spark.apache.org Received: (qmail 36613 invoked by uid 99); 21 Mar 2018 04:45:03 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd4-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 21 Mar 2018 04:45:03 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd4-us-west.apache.org (ASF Mail Server at spamd4-us-west.apache.org) with ESMTP id C9D48C00DB for ; Wed, 21 Mar 2018 04:45:02 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd4-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -109.511 X-Spam-Level: X-Spam-Status: No, score=-109.511 tagged_above=-999 required=6.31 tests=[ENV_AND_HDR_SPF_MATCH=-0.5, KAM_ASCII_DIVIDERS=0.8, RCVD_IN_DNSWL_MED=-2.3, SPF_PASS=-0.001, T_RP_MATCHES_RCVD=-0.01, USER_IN_DEF_SPF_WL=-7.5, USER_IN_WHITELIST=-100] autolearn=disabled Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd4-us-west.apache.org [10.40.0.11]) (amavisd-new, port 10024) with ESMTP id Aib8EE2O_WtZ for ; Wed, 21 Mar 2018 04:45:01 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with ESMTP id 3C37B5F173 for ; Wed, 21 Mar 2018 04:45:01 +0000 (UTC) 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 67E5CE023B for ; Wed, 21 Mar 2018 04:45:00 +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 1FD1E214C6 for ; Wed, 21 Mar 2018 04:45:00 +0000 (UTC) Date: Wed, 21 Mar 2018 04:45:00 +0000 (UTC) From: "Teng Peng (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Comment Edited] (SPARK-19208) MultivariateOnlineSummarizer performance optimization 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/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16407451#comment-16407451 ] Teng Peng edited comment on SPARK-19208 at 3/21/18 4:44 AM: ------------------------------------------------------------ [~timhunter] Has the Jira ticket been opened? I believe the new API for statistical info would be a great improvement. was (Author: teng peng): [~timhunter] Has the Jira ticket been opened? I believe this would be a great improvement. > MultivariateOnlineSummarizer performance optimization > ----------------------------------------------------- > > Key: SPARK-19208 > URL: https://issues.apache.org/jira/browse/SPARK-19208 > Project: Spark > Issue Type: Improvement > Components: ML > Reporter: zhengruifeng > Priority: Major > Attachments: Tests.pdf, WechatIMG2621.jpeg > > > Now, {{MaxAbsScaler}} and {{MinMaxScaler}} are using {{MultivariateOnlineSummarizer}} to compute the min/max. > However {{MultivariateOnlineSummarizer}} will also compute extra unused statistics. It slows down the task, moreover it is more prone to cause OOM. > For example: > env : --driver-memory 4G --executor-memory 1G --num-executors 4 > data: [http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#kdd2010%20(bridge%20to%20algebra)] 748401 instances, and 29,890,095 features > {{MaxAbsScaler.fit}} fails because of OOM > {{MultivariateOnlineSummarizer}} maintains 8 arrays: > {code} > private var currMean: Array[Double] = _ > private var currM2n: Array[Double] = _ > private var currM2: Array[Double] = _ > private var currL1: Array[Double] = _ > private var totalCnt: Long = 0 > private var totalWeightSum: Double = 0.0 > private var weightSquareSum: Double = 0.0 > private var weightSum: Array[Double] = _ > private var nnz: Array[Long] = _ > private var currMax: Array[Double] = _ > private var currMin: Array[Double] = _ > {code} > For {{MaxAbsScaler}}, only 1 array is needed (max of abs value) > For {{MinMaxScaler}}, only 3 arrays are needed (max, min, nnz) > After modication in the pr, the above example run successfully. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org For additional commands, e-mail: issues-help@spark.apache.org