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-rw-r--r--mllib/src/test/java/org/apache/spark/ml/param/JavaTestParams.java2
-rw-r--r--mllib/src/test/java/org/apache/spark/mllib/classification/JavaStreamingLogisticRegressionSuite.java4
-rw-r--r--mllib/src/test/java/org/apache/spark/mllib/clustering/JavaStreamingKMeansSuite.java4
-rw-r--r--mllib/src/test/java/org/apache/spark/mllib/linalg/JavaVectorsSuite.java4
-rw-r--r--mllib/src/test/java/org/apache/spark/mllib/regression/JavaStreamingLinearRegressionSuite.java4
5 files changed, 9 insertions, 9 deletions
diff --git a/mllib/src/test/java/org/apache/spark/ml/param/JavaTestParams.java b/mllib/src/test/java/org/apache/spark/ml/param/JavaTestParams.java
index 65841182df..06f7fbb86e 100644
--- a/mllib/src/test/java/org/apache/spark/ml/param/JavaTestParams.java
+++ b/mllib/src/test/java/org/apache/spark/ml/param/JavaTestParams.java
@@ -89,7 +89,7 @@ public class JavaTestParams extends JavaParams {
myDoubleParam_ = new DoubleParam(this, "myDoubleParam", "this is a double param",
ParamValidators.inRange(0.0, 1.0));
List<String> validStrings = Arrays.asList("a", "b");
- myStringParam_ = new Param<String>(this, "myStringParam", "this is a string param",
+ myStringParam_ = new Param<>(this, "myStringParam", "this is a string param",
ParamValidators.inArray(validStrings));
myDoubleArrayParam_ =
new DoubleArrayParam(this, "myDoubleArrayParam", "this is a double param");
diff --git a/mllib/src/test/java/org/apache/spark/mllib/classification/JavaStreamingLogisticRegressionSuite.java b/mllib/src/test/java/org/apache/spark/mllib/classification/JavaStreamingLogisticRegressionSuite.java
index c9e5ee22f3..62c6d9b7e3 100644
--- a/mllib/src/test/java/org/apache/spark/mllib/classification/JavaStreamingLogisticRegressionSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/classification/JavaStreamingLogisticRegressionSuite.java
@@ -66,8 +66,8 @@ public class JavaStreamingLogisticRegressionSuite implements Serializable {
JavaDStream<LabeledPoint> training =
attachTestInputStream(ssc, Arrays.asList(trainingBatch, trainingBatch), 2);
List<Tuple2<Integer, Vector>> testBatch = Arrays.asList(
- new Tuple2<Integer, Vector>(10, Vectors.dense(1.0)),
- new Tuple2<Integer, Vector>(11, Vectors.dense(0.0)));
+ new Tuple2<>(10, Vectors.dense(1.0)),
+ new Tuple2<>(11, Vectors.dense(0.0)));
JavaPairDStream<Integer, Vector> test = JavaPairDStream.fromJavaDStream(
attachTestInputStream(ssc, Arrays.asList(testBatch, testBatch), 2));
StreamingLogisticRegressionWithSGD slr = new StreamingLogisticRegressionWithSGD()
diff --git a/mllib/src/test/java/org/apache/spark/mllib/clustering/JavaStreamingKMeansSuite.java b/mllib/src/test/java/org/apache/spark/mllib/clustering/JavaStreamingKMeansSuite.java
index d644766d1e..62edbd3a29 100644
--- a/mllib/src/test/java/org/apache/spark/mllib/clustering/JavaStreamingKMeansSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/clustering/JavaStreamingKMeansSuite.java
@@ -66,8 +66,8 @@ public class JavaStreamingKMeansSuite implements Serializable {
JavaDStream<Vector> training =
attachTestInputStream(ssc, Arrays.asList(trainingBatch, trainingBatch), 2);
List<Tuple2<Integer, Vector>> testBatch = Arrays.asList(
- new Tuple2<Integer, Vector>(10, Vectors.dense(1.0)),
- new Tuple2<Integer, Vector>(11, Vectors.dense(0.0)));
+ new Tuple2<>(10, Vectors.dense(1.0)),
+ new Tuple2<>(11, Vectors.dense(0.0)));
JavaPairDStream<Integer, Vector> test = JavaPairDStream.fromJavaDStream(
attachTestInputStream(ssc, Arrays.asList(testBatch, testBatch), 2));
StreamingKMeans skmeans = new StreamingKMeans()
diff --git a/mllib/src/test/java/org/apache/spark/mllib/linalg/JavaVectorsSuite.java b/mllib/src/test/java/org/apache/spark/mllib/linalg/JavaVectorsSuite.java
index 77c8c6274f..4ba8e543a9 100644
--- a/mllib/src/test/java/org/apache/spark/mllib/linalg/JavaVectorsSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/linalg/JavaVectorsSuite.java
@@ -37,8 +37,8 @@ public class JavaVectorsSuite implements Serializable {
public void sparseArrayConstruction() {
@SuppressWarnings("unchecked")
Vector v = Vectors.sparse(3, Arrays.asList(
- new Tuple2<Integer, Double>(0, 2.0),
- new Tuple2<Integer, Double>(2, 3.0)));
+ new Tuple2<>(0, 2.0),
+ new Tuple2<>(2, 3.0)));
assertArrayEquals(new double[]{2.0, 0.0, 3.0}, v.toArray(), 0.0);
}
}
diff --git a/mllib/src/test/java/org/apache/spark/mllib/regression/JavaStreamingLinearRegressionSuite.java b/mllib/src/test/java/org/apache/spark/mllib/regression/JavaStreamingLinearRegressionSuite.java
index dbf6488d41..ea0ccd7448 100644
--- a/mllib/src/test/java/org/apache/spark/mllib/regression/JavaStreamingLinearRegressionSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/regression/JavaStreamingLinearRegressionSuite.java
@@ -65,8 +65,8 @@ public class JavaStreamingLinearRegressionSuite implements Serializable {
JavaDStream<LabeledPoint> training =
attachTestInputStream(ssc, Arrays.asList(trainingBatch, trainingBatch), 2);
List<Tuple2<Integer, Vector>> testBatch = Arrays.asList(
- new Tuple2<Integer, Vector>(10, Vectors.dense(1.0)),
- new Tuple2<Integer, Vector>(11, Vectors.dense(0.0)));
+ new Tuple2<>(10, Vectors.dense(1.0)),
+ new Tuple2<>(11, Vectors.dense(0.0)));
JavaPairDStream<Integer, Vector> test = JavaPairDStream.fromJavaDStream(
attachTestInputStream(ssc, Arrays.asList(testBatch, testBatch), 2));
StreamingLinearRegressionWithSGD slr = new StreamingLinearRegressionWithSGD()