Return-Path: X-Original-To: apmail-spark-reviews-archive@minotaur.apache.org Delivered-To: apmail-spark-reviews-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id A6F5417937 for ; Thu, 2 Apr 2015 23:47:57 +0000 (UTC) Received: (qmail 93293 invoked by uid 500); 2 Apr 2015 23:47:57 -0000 Delivered-To: apmail-spark-reviews-archive@spark.apache.org Received: (qmail 93270 invoked by uid 500); 2 Apr 2015 23:47:57 -0000 Mailing-List: contact reviews-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list reviews@spark.apache.org Received: (qmail 93259 invoked by uid 99); 2 Apr 2015 23:47:57 -0000 Received: from git1-us-west.apache.org (HELO git1-us-west.apache.org) (140.211.11.23) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 02 Apr 2015 23:47:57 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id 41E89E2F58; Thu, 2 Apr 2015 23:47:57 +0000 (UTC) From: mengxr To: reviews@spark.apache.org Reply-To: reviews@spark.apache.org References: In-Reply-To: Subject: [GitHub] spark pull request: [MLLIB] SPARK-4231, SPARK-3066: Add RankingMet... Content-Type: text/plain Message-Id: <20150402234757.41E89E2F58@git1-us-west.apache.org> Date: Thu, 2 Apr 2015 23:47:57 +0000 (UTC) Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/3098#discussion_r27707370 --- Diff: mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala --- @@ -138,14 +141,122 @@ class MatrixFactorizationModel( } private def recommend( - recommendToFeatures: Array[Double], - recommendableFeatures: RDD[(Int, Array[Double])], - num: Int): Array[(Int, Double)] = { - val scored = recommendableFeatures.map { case (id,features) => - (id, blas.ddot(features.length, recommendToFeatures, 1, features, 1)) + recommendToFeatures: Array[Double], + recommendableFeatures: RDD[(Int, Array[Double])], + num: Int): Array[(Int, Double)] = { + val recommendToVector = Vectors.dense(recommendToFeatures) + val scored = recommendableFeatures.map { + case (id, features) => + (id, BLAS.dot(recommendToVector, Vectors.dense(features))) --- End diff -- and same here. Let's keep this code untouched, which is irrelevant to this PR. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastructure@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org For additional commands, e-mail: reviews-help@spark.apache.org