update examples to use regression data instead of classification data

Author: JeremyNixon

examples/src/main/java/org/apache/spark/examples/ml/JavaTrainValidationSplitExample.java

@@ -44,7 +44,7 @@ public static void main(String[] args) {
     JavaSparkContext jsc = new JavaSparkContext(conf);
     SQLContext jsql = new SQLContext(jsc);
 
-    DataFrame data = jsql.read().format("libsvm").load("data/mllib/sample_libsvm_data.txt");
+    DataFrame data = jsql.read().format("libsvm").load("data/mllib/sample_linear_regression_data.txt");
 
     // Prepare training and test data.
     DataFrame[] splits = data.randomSplit(new double [] {0.9, 0.1}, 12345);

examples/src/main/scala/org/apache/spark/examples/ml/TrainValidationSplitExample.scala

@@ -40,7 +40,7 @@ object TrainValidationSplitExample {
     val sqlContext = new SQLContext(sc)
 
     // Prepare training and test data.
-    val data = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt")
+    val data = sqlContext.read.format("libsvm").load("data/mllib/sample_linear_regression_data.txt")
     val Array(training, test) = data.randomSplit(Array(0.9, 0.1), seed = 12345)
 
     val lr = new LinearRegression()