spark JavaKernelDensityEstimationExample 源码
spark JavaKernelDensityEstimationExample 代码
文件路径:/examples/src/main/java/org/apache/spark/examples/mllib/JavaKernelDensityEstimationExample.java
/*
* 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.JavaRDD;
import org.apache.spark.mllib.stat.KernelDensity;
// $example off$
public class JavaKernelDensityEstimationExample {
public static void main(String[] args) {
SparkConf conf = new SparkConf().setAppName("JavaKernelDensityEstimationExample");
JavaSparkContext jsc = new JavaSparkContext(conf);
// $example on$
// an RDD of sample data
JavaRDD<Double> data = jsc.parallelize(
Arrays.asList(1.0, 1.0, 1.0, 2.0, 3.0, 4.0, 5.0, 5.0, 6.0, 7.0, 8.0, 9.0, 9.0));
// Construct the density estimator with the sample data
// and a standard deviation for the Gaussian kernels
KernelDensity kd = new KernelDensity().setSample(data).setBandwidth(3.0);
// Find density estimates for the given values
double[] densities = kd.estimate(new double[]{-1.0, 2.0, 5.0});
System.out.println(Arrays.toString(densities));
// $example off$
jsc.stop();
}
}
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