CR feedback, remove unecessary learners (came back during merge mista…

…ke) and insert an empty line

mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala

@@ -18,6 +18,7 @@
 package org.apache.spark.mllib.util
 
 import java.io.File
+
 import scala.math
 import scala.util.Random
 
@@ -120,24 +121,6 @@ class MLUtilsSuite extends FunSuite with LocalSparkContext {
     }
   }
 
-  // This learner always says everything is 0
-  def terribleLearner(trainingData: RDD[LabeledPoint]): RegressionModel = {
-    object AlwaysZero extends RegressionModel {
-      override def predict(testData: RDD[Array[Double]]): RDD[Double] = {
-        testData.map(_ => 0)
-      }
-      override def predict(testData: Array[Double]): Double = {
-        0
-      }
-    }
-    AlwaysZero
-  }
-
-  // Always returns its input
-  def exactLearner(trainingData: RDD[LabeledPoint]): RegressionModel = {
-    new LinearRegressionModel(Array(1.0), 0)
-  }
-
   test("kFold") {
     val data = sc.parallelize(1 to 100, 2)
     val collectedData = data.collect().sorted