From issues-return-128366-apmail-spark-issues-archive=spark.apache.org@spark.apache.org Thu Sep 1 04:40:21 2016 Return-Path: X-Original-To: apmail-spark-issues-archive@minotaur.apache.org Delivered-To: apmail-spark-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 3754819469 for ; Thu, 1 Sep 2016 04:40:21 +0000 (UTC) Received: (qmail 5065 invoked by uid 500); 1 Sep 2016 04:40:21 -0000 Delivered-To: apmail-spark-issues-archive@spark.apache.org Received: (qmail 5010 invoked by uid 500); 1 Sep 2016 04:40:21 -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 4983 invoked by uid 99); 1 Sep 2016 04:40:21 -0000 Received: from arcas.apache.org (HELO arcas) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 01 Sep 2016 04:40:21 +0000 Received: from arcas.apache.org (localhost [127.0.0.1]) by arcas (Postfix) with ESMTP id D88862C014E for ; Thu, 1 Sep 2016 04:40:20 +0000 (UTC) Date: Thu, 1 Sep 2016 04:40:20 +0000 (UTC) From: "Shivaram Venkataraman (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Resolved] (SPARK-17241) SparkR spark.glm should have configurable regularization parameter 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-17241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shivaram Venkataraman resolved SPARK-17241. ------------------------------------------- Resolution: Fixed Fix Version/s: 2.1.0 Issue resolved by pull request 14856 [https://github.com/apache/spark/pull/14856] > SparkR spark.glm should have configurable regularization parameter > ------------------------------------------------------------------ > > Key: SPARK-17241 > URL: https://issues.apache.org/jira/browse/SPARK-17241 > Project: Spark > Issue Type: Improvement > Reporter: Junyang Qian > Fix For: 2.1.0 > > > Spark has configurable L2 regularization parameter for generalized linear regression. It is very important to have them in SparkR so that users can run ridge regression. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org For additional commands, e-mail: issues-help@spark.apache.org