diff options
Diffstat (limited to 'examples')
-rw-r--r-- | examples/src/main/java/org/apache/spark/mllib/examples/JavaLR.java | 14 |
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); } |