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 DA04218E9B for ; Thu, 2 Jul 2015 12:59:05 +0000 (UTC) Received: (qmail 74825 invoked by uid 500); 2 Jul 2015 12:59:05 -0000 Delivered-To: apmail-flink-issues-archive@flink.apache.org Received: (qmail 74786 invoked by uid 500); 2 Jul 2015 12:59:05 -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 74775 invoked by uid 99); 2 Jul 2015 12:59:05 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 02 Jul 2015 12:59:05 +0000 Date: Thu, 2 Jul 2015 12:59:05 +0000 (UTC) From: "ASF GitHub Bot (JIRA)" To: issues@flink.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (FLINK-2297) Add threshold setting for SVM binary predictions 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-2297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14611918#comment-14611918 ] ASF GitHub Bot commented on FLINK-2297: --------------------------------------- Github user asfgit closed the pull request at: https://github.com/apache/flink/pull/874 > Add threshold setting for SVM binary predictions > ------------------------------------------------ > > Key: FLINK-2297 > URL: https://issues.apache.org/jira/browse/FLINK-2297 > Project: Flink > Issue Type: Improvement > Components: Machine Learning Library > Reporter: Theodore Vasiloudis > Assignee: Theodore Vasiloudis > Priority: Minor > Labels: ML > Fix For: 0.10 > > > Currently SVM outputs the raw decision function values when using the predict function. > We should have instead the ability to set a threshold above which examples are labeled as positive (1.0) and below negative (-1.0). Then the prediction function can be directly used for evaluation. -- This message was sent by Atlassian JIRA (v6.3.4#6332)