0001
0002
0003
0004
0005
0006
0007
0008
0009
0010
0011
0012
0013
0014
0015
0016
0017
0018 package org.apache.spark.examples.ml;
0019
0020 import org.apache.spark.sql.SparkSession;
0021
0022
0023 import java.util.Arrays;
0024 import java.util.List;
0025
0026 import org.apache.spark.ml.linalg.Vectors;
0027 import org.apache.spark.ml.linalg.VectorUDT;
0028 import org.apache.spark.ml.stat.ChiSquareTest;
0029 import org.apache.spark.sql.Dataset;
0030 import org.apache.spark.sql.Row;
0031 import org.apache.spark.sql.RowFactory;
0032 import org.apache.spark.sql.types.*;
0033
0034
0035
0036
0037
0038
0039
0040
0041
0042 public class JavaChiSquareTestExample {
0043
0044 public static void main(String[] args) {
0045 SparkSession spark = SparkSession
0046 .builder()
0047 .appName("JavaChiSquareTestExample")
0048 .getOrCreate();
0049
0050
0051 List<Row> data = Arrays.asList(
0052 RowFactory.create(0.0, Vectors.dense(0.5, 10.0)),
0053 RowFactory.create(0.0, Vectors.dense(1.5, 20.0)),
0054 RowFactory.create(1.0, Vectors.dense(1.5, 30.0)),
0055 RowFactory.create(0.0, Vectors.dense(3.5, 30.0)),
0056 RowFactory.create(0.0, Vectors.dense(3.5, 40.0)),
0057 RowFactory.create(1.0, Vectors.dense(3.5, 40.0))
0058 );
0059
0060 StructType schema = new StructType(new StructField[]{
0061 new StructField("label", DataTypes.DoubleType, false, Metadata.empty()),
0062 new StructField("features", new VectorUDT(), false, Metadata.empty()),
0063 });
0064
0065 Dataset<Row> df = spark.createDataFrame(data, schema);
0066 Row r = ChiSquareTest.test(df, "features", "label").head();
0067 System.out.println("pValues: " + r.get(0).toString());
0068 System.out.println("degreesOfFreedom: " + r.getList(1).toString());
0069 System.out.println("statistics: " + r.get(2).toString());
0070
0071
0072
0073 spark.stop();
0074 }
0075 }