Github user mengxr commented on a diff in the pull request:

    https://github.com/apache/spark/pull/2978#discussion_r19486480
  
    --- Diff: 
mllib/src/test/scala/org/apache/spark/mllib/evaluation/RegressionMetricsSuite.scala
 ---
    @@ -0,0 +1,45 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.mllib.evaluation
    +
    +import org.scalatest.FunSuite
    +import org.apache.spark.mllib.util.LocalSparkContext
    +import org.apache.spark.mllib.util.TestingUtils._
    +
    +class RegressionMetricsSuite extends FunSuite with LocalSparkContext {
    +
    +  test("regression metrics") {
    +    val valuesAndPreds = sc.parallelize(
    +      Seq((3.0,2.5),(-0.5,0.0),(2.0,2.0),(7.0,8.0)),2)
    +    val metrics = new RegressionMetrics(valuesAndPreds)
    +    assert(metrics.explainedVarianceScore() ~== 0.95717 absTol 
1E-5,"explained variance regression score mismatch")
    +    assert(metrics.mae() ~== 0.5 absTol 1E-5, "mean absolute error 
mismatch")
    +    assert(metrics.mse() ~== 0.375 absTol 1E-5, "mean square error 
mismatch")
    +    assert(metrics.r2_score() ~== 0.94861 absTol 1E-5, "r2 score mismatch")
    +  }
    +
    +  test("regression metrics with complete fitting") {
    +    val valuesAndPreds = sc.parallelize(
    +      Seq((3.0,3.0),(0.0,0.0),(2.0,2.0),(8.0,8.0)),2)
    +    val metrics = new RegressionMetrics(valuesAndPreds)
    +    assert(metrics.explainedVarianceScore() ~== 1.0 absTol 1E-5,"explained 
variance regression score mismatch")
    --- End diff --
    
    line too wide


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