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-rw-r--r--examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java3
-rw-r--r--examples/src/main/java/org/apache/spark/examples/ml/JavaLogisticRegressionWithElasticNetExample.java4
2 files changed, 3 insertions, 4 deletions
diff --git a/examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java b/examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java
index 4213c05703..3684a87e22 100644
--- a/examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java
+++ b/examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java
@@ -19,7 +19,6 @@ package org.apache.spark.examples.ml;
import org.apache.spark.ml.feature.Interaction;
import org.apache.spark.ml.feature.VectorAssembler;
-import org.apache.spark.ml.linalg.Vectors;
import org.apache.spark.sql.*;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.Metadata;
@@ -48,7 +47,7 @@ public class JavaInteractionExample {
RowFactory.create(5, 9, 2, 7, 10, 7, 3),
RowFactory.create(6, 1, 1, 4, 2, 8, 4)
);
-
+
StructType schema = new StructType(new StructField[]{
new StructField("id1", DataTypes.IntegerType, false, Metadata.empty()),
new StructField("id2", DataTypes.IntegerType, false, Metadata.empty()),
diff --git a/examples/src/main/java/org/apache/spark/examples/ml/JavaLogisticRegressionWithElasticNetExample.java b/examples/src/main/java/org/apache/spark/examples/ml/JavaLogisticRegressionWithElasticNetExample.java
index b8fb5972ea..4cdec21d23 100644
--- a/examples/src/main/java/org/apache/spark/examples/ml/JavaLogisticRegressionWithElasticNetExample.java
+++ b/examples/src/main/java/org/apache/spark/examples/ml/JavaLogisticRegressionWithElasticNetExample.java
@@ -60,8 +60,8 @@ public class JavaLogisticRegressionWithElasticNetExample {
LogisticRegressionModel mlrModel = mlr.fit(training);
// Print the coefficients and intercepts for logistic regression with multinomial family
- System.out.println("Multinomial coefficients: "
- + lrModel.coefficientMatrix() + "\nMultinomial intercepts: " + mlrModel.interceptVector());
+ System.out.println("Multinomial coefficients: " + lrModel.coefficientMatrix()
+ + "\nMultinomial intercepts: " + mlrModel.interceptVector());
// $example off$
spark.stop();