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-rw-r--r--examples/src/main/java/org/apache/spark/mllib/examples/JavaLR.java14
1 files changed, 4 insertions, 10 deletions
diff --git a/examples/src/main/java/org/apache/spark/mllib/examples/JavaLR.java b/examples/src/main/java/org/apache/spark/mllib/examples/JavaLR.java
index 667c72f379..cd8879ff88 100644
--- a/examples/src/main/java/org/apache/spark/mllib/examples/JavaLR.java
+++ b/examples/src/main/java/org/apache/spark/mllib/examples/JavaLR.java
@@ -17,6 +17,7 @@
package org.apache.spark.mllib.examples;
+import java.util.regex.Pattern;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
@@ -24,11 +25,9 @@ import org.apache.spark.api.java.function.Function;
import org.apache.spark.mllib.classification.LogisticRegressionWithSGD;
import org.apache.spark.mllib.classification.LogisticRegressionModel;
+import org.apache.spark.mllib.linalg.Vectors;
import org.apache.spark.mllib.regression.LabeledPoint;
-import java.util.Arrays;
-import java.util.regex.Pattern;
-
/**
* Logistic regression based classification using ML Lib.
*/
@@ -47,14 +46,10 @@ public final class JavaLR {
for (int i = 0; i < tok.length; ++i) {
x[i] = Double.parseDouble(tok[i]);
}
- return new LabeledPoint(y, x);
+ return new LabeledPoint(y, Vectors.dense(x));
}
}
- public static void printWeights(double[] a) {
- System.out.println(Arrays.toString(a));
- }
-
public static void main(String[] args) {
if (args.length != 4) {
System.err.println("Usage: JavaLR <master> <input_dir> <step_size> <niters>");
@@ -80,8 +75,7 @@ public final class JavaLR {
LogisticRegressionModel model = LogisticRegressionWithSGD.train(points.rdd(),
iterations, stepSize);
- System.out.print("Final w: ");
- printWeights(model.weights());
+ System.out.print("Final w: " + model.weights());
System.exit(0);
}