org.apache.spark.examples.mllib.JavaAssociationRulesExample Maven / Gradle / Ivy
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* 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
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package org.apache.spark.examples.mllib;
// $example on$
import java.util.Arrays;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.mllib.fpm.AssociationRules;
import org.apache.spark.mllib.fpm.FPGrowth;
import org.apache.spark.mllib.fpm.FPGrowth.FreqItemset;
// $example off$
import org.apache.spark.SparkConf;
public class JavaAssociationRulesExample {
public static void main(String[] args) {
SparkConf sparkConf = new SparkConf().setAppName("JavaAssociationRulesExample");
JavaSparkContext sc = new JavaSparkContext(sparkConf);
// $example on$
JavaRDD> freqItemsets = sc.parallelize(Arrays.asList(
new FreqItemset<>(new String[] {"a"}, 15L),
new FreqItemset<>(new String[] {"b"}, 35L),
new FreqItemset<>(new String[] {"a", "b"}, 12L)
));
AssociationRules arules = new AssociationRules()
.setMinConfidence(0.8);
JavaRDD> results = arules.run(freqItemsets);
for (AssociationRules.Rule rule : results.collect()) {
System.out.println(
rule.javaAntecedent() + " => " + rule.javaConsequent() + ", " + rule.confidence());
}
// $example off$
sc.stop();
}
}
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