fix style

mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala

@@ -143,9 +143,9 @@ class DecisionTree (private val strategy: Strategy) extends Serializable with Lo
         timer.start("extractNodeInfo")
         val split = nodeSplitStats._1
         val stats = nodeSplitStats._2
-        val predict = nodeSplitStats._3
+        val predict = nodeSplitStats._3.predict
         val isLeaf = (stats.gain <= 0) || (level == strategy.maxDepth)
-        val node = new Node(nodeIndex, predict.predict, isLeaf, Some(split), None, None, Some(stats))
+        val node = new Node(nodeIndex, predict, isLeaf, Some(split), None, None, Some(stats))
         logDebug("Node = " + node)
         nodes(nodeIndex) = node
         timer.stop("extractNodeInfo")
@@ -735,14 +735,13 @@ object DecisionTree extends Serializable with Logging {
       topImpurity: Double,
       level: Int,
       metadata: DecisionTreeMetadata): InformationGainStats = {
-
     val leftCount = leftImpurityCalculator.count
     val rightCount = rightImpurityCalculator.count
 
     // If left child or right child doesn't satisfy minimum instances per node,
     // then this split is invalid, return invalid information gain stats
     if ((leftCount < metadata.minInstancesPerNode) ||
-      (rightCount < metadata.minInstancesPerNode)) {
+        (rightCount < metadata.minInstancesPerNode)) {
       return InformationGainStats.invalidInformationGainStats
     }