content: /*
   * 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;
  
  import org.apache.spark.SparkConf;
  import org.apache.spark.api.java.JavaSparkContext;
  // $example on$
  import java.util.Arrays;
  
  import org.apache.spark.api.java.JavaDoubleRDD;
  import org.apache.spark.mllib.stat.Statistics;
  import org.apache.spark.mllib.stat.test.KolmogorovSmirnovTestResult;
  // $example off$
  
  public class JavaHypothesisTestingKolmogorovSmirnovTestExample {
    public static void main(String[] args) {
  
      SparkConf conf =
        new SparkConf().setAppName("JavaHypothesisTestingKolmogorovSmirnovTestExample");
      JavaSparkContext jsc = new JavaSparkContext(conf);
  
      // $example on$
      JavaDoubleRDD data = jsc.parallelizeDoubles(Arrays.asList(0.1, 0.15, 0.2, 0.3, 0.25));
      KolmogorovSmirnovTestResult testResult =
        Statistics.kolmogorovSmirnovTest(data, "norm", 0.0, 1.0);
      // summary of the test including the p-value, test statistic, and null hypothesis
      // if our p-value indicates significance, we can reject the null hypothesis
      System.out.println(testResult);
      // $example off$
  
      jsc.stop();
    }
  }
  
  