Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9689#discussion_r45315688
--- Diff:
examples/src/main/java/org/apache/spark/examples/mllib/JavaLinearRegressionExample.java
---
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.examples.mllib;
+// $example on$
+import scala.Tuple2;
+
+import org.apache.spark.api.java.*;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.mllib.linalg.Vectors;
+import org.apache.spark.mllib.regression.LabeledPoint;
+import org.apache.spark.mllib.regression.LinearRegressionModel;
+import org.apache.spark.mllib.regression.LinearRegressionWithSGD;
+import org.apache.spark.mllib.evaluation.RegressionMetrics;
+import org.apache.spark.SparkConf;
+// $example off$
+
+// Read in the ratings data
+public class JavaLinearRegressionExample {
+ public static void main(String[] args) {
+ SparkConf conf = new SparkConf().setAppName("Linear Regression
Example");
+ JavaSparkContext sc = new JavaSparkContext(conf);
+ // $example on$
+ // Load and parse the data
+ String path = "data/mllib/sample_linear_regression_data.txt";
+ JavaRDD<String> data = sc.textFile(path);
+ JavaRDD<LabeledPoint> parsedData = data.map(
+ new Function<String, LabeledPoint>() {
+ public LabeledPoint call(String line) {
+ String[] parts = line.split(" ");
+ double[] v = new double[parts.length - 1];
+ for (int i = 1; i < parts.length - 1; i++)
+ v[i - 1] = Double.parseDouble(parts[i].split(":")[1]);
+ return new LabeledPoint(Double.parseDouble(parts[0]),
Vectors.dense(v));
+ }
+ }
+ );
+ parsedData.cache();
+
+ // Building the model
+ int numIterations = 100;
+ final LinearRegressionModel model =
LinearRegressionWithSGD.train(JavaRDD.toRDD(parsedData),
+ numIterations);
--- End diff --
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