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 --
    
    2-indention here


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