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 567AE200B8D for ; Fri, 9 Sep 2016 01:02:10 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 5515E160AD0; Thu, 8 Sep 2016 23:02:10 +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 C3B59160AAD for ; Fri, 9 Sep 2016 01:02:09 +0200 (CEST) Received: (qmail 58381 invoked by uid 500); 8 Sep 2016 23:02:09 -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 58369 invoked by uid 99); 8 Sep 2016 23:02:08 -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, 08 Sep 2016 23:02:08 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id 98E12DFD9F; Thu, 8 Sep 2016 23:02:08 +0000 (UTC) From: sethah To: reviews@spark.apache.org Reply-To: reviews@spark.apache.org References: In-Reply-To: Subject: [GitHub] spark pull request #14834: [SPARK-17163][ML][WIP] Unified LogisticRegression... Content-Type: text/plain Message-Id: <20160908230208.98E12DFD9F@git1-us-west.apache.org> Date: Thu, 8 Sep 2016 23:02:08 +0000 (UTC) archived-at: Thu, 08 Sep 2016 23:02:10 -0000 Github user sethah commented on a diff in the pull request: https://github.com/apache/spark/pull/14834#discussion_r78104785 --- Diff: mllib/src/test/scala/org/apache/spark/ml/classification/LogisticRegressionSuite.scala --- @@ -232,6 +363,47 @@ class LogisticRegressionSuite } } + test("coefficients and intercept methods") { + val mlr = new LogisticRegression().setMaxIter(1) + val mlrModel = mlr.fit(smallMultinomialDataset) + val thrownCoef = intercept[SparkException] { + mlrModel.coefficients + } + val thrownIntercept = intercept[SparkException] { + mlrModel.intercept + } + assert(thrownCoef.getMessage().contains("use coefficientMatrix instead")) + assert(thrownIntercept.getMessage().contains("use interceptVector instead")) + + val blr = new LogisticRegression().setMaxIter(1) --- End diff -- In tests like these, perhaps we should explicitly set the family to be certain of the code path. We already have a test to check the family detection code. I'll add this in my next commit. --- 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