Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id C0EA5200B5C for ; Thu, 28 Jul 2016 05:28:50 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id BF852160A93; Thu, 28 Jul 2016 03:28:50 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 3962E160A90 for ; Thu, 28 Jul 2016 05:28:50 +0200 (CEST) Received: (qmail 96704 invoked by uid 500); 28 Jul 2016 03:28:49 -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 96693 invoked by uid 99); 28 Jul 2016 03:28:48 -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, 28 Jul 2016 03:28:48 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id 5AC5FE02A2; Thu, 28 Jul 2016 03:28:48 +0000 (UTC) From: yanboliang To: reviews@spark.apache.org Reply-To: reviews@spark.apache.org References: In-Reply-To: Subject: [GitHub] spark pull request #14378: [SPARK-16750] [ML] Fix GaussianMixture training f... Content-Type: text/plain Message-Id: <20160728032848.5AC5FE02A2@git1-us-west.apache.org> Date: Thu, 28 Jul 2016 03:28:48 +0000 (UTC) archived-at: Thu, 28 Jul 2016 03:28:50 -0000 Github user yanboliang commented on a diff in the pull request: https://github.com/apache/spark/pull/14378#discussion_r72560646 --- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinMaxScaler.scala --- @@ -111,7 +111,7 @@ class MinMaxScaler @Since("1.5.0") (@Since("1.5.0") override val uid: String) @Since("2.0.0") override def fit(dataset: Dataset[_]): MinMaxScalerModel = { - transformSchema(dataset.schema, logging = true) + transformSchema(dataset.schema) --- End diff -- It's a good question. Since ```MinMaxScaler``` override ```transformSchema``` with no argument ```logging```, we should use that one rather than the function in the base class. --- 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