spark JavaGaussianMixtureExample 源码
spark JavaGaussianMixtureExample 代码
文件路径：/examples/src/main/java/org/apache/spark/examples/ml/JavaGaussianMixtureExample.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.ml;
// $example on$
import org.apache.spark.ml.clustering.GaussianMixture;
import org.apache.spark.ml.clustering.GaussianMixtureModel;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
// $example off$
import org.apache.spark.sql.SparkSession;
/**
* An example demonstrating Gaussian Mixture Model.
* Run with
* <pre>
* bin/run-example ml.JavaGaussianMixtureExample
* </pre>
*/
public class JavaGaussianMixtureExample {
public static void main(String[] args) {
// Creates a SparkSession
SparkSession spark = SparkSession
.builder()
.appName("JavaGaussianMixtureExample")
.getOrCreate();
// $example on$
// Loads data
Dataset<Row> dataset = spark.read().format("libsvm").load("data/mllib/sample_kmeans_data.txt");
// Trains a GaussianMixture model
GaussianMixture gmm = new GaussianMixture()
.setK(2);
GaussianMixtureModel model = gmm.fit(dataset);
// Output the parameters of the mixture model
for (int i = 0; i < model.getK(); i++) {
System.out.printf("Gaussian %d:\nweight=%f\nmu=%s\nsigma=\n%s\n\n",
i, model.weights()[i], model.gaussians()[i].mean(), model.gaussians()[i].cov());
}
// $example off$
spark.stop();
}
}
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