fix style issues

apache · Jan 18, 2018 · 5ed87ea · 5ed87ea
1 parent b1b0485
commit 5ed87ea
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Showing 2 changed files with 6 additions and 6 deletions.
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala
@@ -584,6 +584,7 @@ object KMeans {
       case _ => false
     }
   }
+
   private[spark] def validateDistanceMeasure(distanceMeasure: String): Boolean = {
     distanceMeasure match {
       case DistanceMeasure.EUCLIDEAN => true
@@ -598,8 +599,8 @@ object KMeans {
  *
  * @see [[org.apache.spark.mllib.clustering.KMeans#fastSquaredDistance]]
  */
-private[clustering]
-class VectorWithNorm(val vector: Vector, val norm: Double) extends Serializable {
+private[clustering] class VectorWithNorm(val vector: Vector, val norm: Double)
+    extends Serializable {
 
   def this(vector: Vector) = this(vector, Vectors.norm(vector, 2.0))
 
@@ -616,8 +617,8 @@ private[spark] abstract class DistanceMeasure extends Serializable {
    * @return the index of the closest center to the given point, as well as the cost.
    */
   def findClosest(
-     centers: TraversableOnce[VectorWithNorm],
-     point: VectorWithNorm): (Int, Double) = {
+      centers: TraversableOnce[VectorWithNorm],
+      point: VectorWithNorm): (Int, Double) = {
     var bestDistance = Double.PositiveInfinity
     var bestIndex = 0
     var i = 0

diff --git a/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeansModel.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeansModel.scala
@@ -176,8 +176,7 @@ object KMeansModel extends Loader[KMeansModel] {
 
     private val thisFormatVersion = "2.0"
 
-    private[clustering]
-    val thisClassName = "org.apache.spark.mllib.clustering.KMeansModel"
+    private[clustering] val thisClassName = "org.apache.spark.mllib.clustering.KMeansModel"
 
     def save(sc: SparkContext, model: KMeansModel, path: String): Unit = {
       val spark = SparkSession.builder().sparkContext(sc).getOrCreate()