From issues-return-194054-archive-asf-public=cust-asf.ponee.io@spark.apache.org Thu Jun 14 10:33:05 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 E7A9B18077A for ; Thu, 14 Jun 2018 10:33:04 +0200 (CEST) Received: (qmail 97898 invoked by uid 500); 14 Jun 2018 08:33:03 -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 97889 invoked by uid 99); 14 Jun 2018 08:33:03 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd2-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 14 Jun 2018 08:33:03 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd2-us-west.apache.org (ASF Mail Server at spamd2-us-west.apache.org) with ESMTP id 5BB1B1A2688 for ; Thu, 14 Jun 2018 08:33:03 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd2-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -110.301 X-Spam-Level: X-Spam-Status: No, score=-110.301 tagged_above=-999 required=6.31 tests=[ENV_AND_HDR_SPF_MATCH=-0.5, RCVD_IN_DNSWL_MED=-2.3, SPF_PASS=-0.001, 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 (spamd2-us-west.apache.org [10.40.0.9]) (amavisd-new, port 10024) with ESMTP id XMymfh4fWadt for ; Thu, 14 Jun 2018 08:33:02 +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 AC29B5F288 for ; Thu, 14 Jun 2018 08:33:01 +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 9EB50E0239 for ; Thu, 14 Jun 2018 08:33:00 +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 3EEE92183F for ; Thu, 14 Jun 2018 08:33:00 +0000 (UTC) Date: Thu, 14 Jun 2018 08:33:00 +0000 (UTC) From: "Lee Dongjin (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (SPARK-4591) Algorithm/model parity for spark.ml (Scala) 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-4591?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16512153#comment-16512153 ] Lee Dongjin commented on SPARK-4591: ------------------------------------ [~josephkb] Excuse me. By SPARK-14376 was resolved recently, I think we should make this issue be resolve also. > Algorithm/model parity for spark.ml (Scala) > ------------------------------------------- > > Key: SPARK-4591 > URL: https://issues.apache.org/jira/browse/SPARK-4591 > Project: Spark > Issue Type: Umbrella > Components: ML > Reporter: Xiangrui Meng > Priority: Critical > > This is an umbrella JIRA for porting spark.mllib implementations to use the DataFrame-based API defined under spark.ml. We want to achieve critical feature parity for the next release. > h3. Instructions for 3 subtask types > *Review tasks*: detailed review of a subpackage to identify feature gaps between spark.mllib and spark.ml. > * Should be listed as a subtask of this umbrella. > * Review subtasks cover major algorithm groups. To pick up a review subtask, please: > ** Comment that you are working on it. > ** Compare the public APIs of spark.ml vs. spark.mllib. > ** Comment on all missing items within spark.ml: algorithms, models, methods, features, etc. > ** Check for existing JIRAs covering those items. If there is no existing JIRA, create one, and link it to your comment. > *Critical tasks*: higher priority missing features which are required for this umbrella JIRA. > * Should be linked as "requires" links. > *Other tasks*: lower priority missing features which can be completed after the critical tasks. > * Should be linked as "contains" links. > h4. Excluded items > This does *not* include: > * Python: We can compare Scala vs. Python in spark.ml itself. > * Moving linalg to spark.ml: [SPARK-13944] > * Streaming ML: Requires stabilizing some internal APIs of structured streaming first > h3. TODO list > *Critical issues* > * [SPARK-14501]: Frequent Pattern Mining > * [SPARK-14709]: linear SVM > * [SPARK-15784]: Power Iteration Clustering (PIC) > *Lower priority issues* > * Missing methods within algorithms (see Issue Links below) > * evaluation submodule > * stat submodule (should probably be covered in DataFrames) > * Developer-facing submodules: > ** optimization (including [SPARK-17136]) > ** random, rdd > ** util > *To be prioritized* > * single-instance prediction: [SPARK-10413] > * pmml [SPARK-11171] -- 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