examples/mllib/JavaAssociationRulesExample.java

0001 /*
0002  * Licensed to the Apache Software Foundation (ASF) under one or more
0003  * contributor license agreements.  See the NOTICE file distributed with
0004  * this work for additional information regarding copyright ownership.
0005  * The ASF licenses this file to You under the Apache License, Version 2.0
0006  * (the "License"); you may not use this file except in compliance with
0007  * the License.  You may obtain a copy of the License at
0008  *
0009  *    http://www.apache.org/licenses/LICENSE-2.0
0010  *
0011  * Unless required by applicable law or agreed to in writing, software
0012  * distributed under the License is distributed on an "AS IS" BASIS,
0013  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
0014  * See the License for the specific language governing permissions and
0015  * limitations under the License.
0016  */
0017
0018 package org.apache.spark.examples.mllib;
0019
0020 // $example on$
0021 import java.util.Arrays;
0022
0023 import org.apache.spark.api.java.JavaRDD;
0024 import org.apache.spark.api.java.JavaSparkContext;
0025 import org.apache.spark.mllib.fpm.AssociationRules;
0026 import org.apache.spark.mllib.fpm.FPGrowth;
0027 import org.apache.spark.mllib.fpm.FPGrowth.FreqItemset;
0028 // $example off$
0029
0030 import org.apache.spark.SparkConf;
0031
0032 public class JavaAssociationRulesExample {
0033
0034   public static void main(String[] args) {
0035
0036     SparkConf sparkConf = new SparkConf().setAppName("JavaAssociationRulesExample");
0037     JavaSparkContext sc = new JavaSparkContext(sparkConf);
0038
0039     // $example on$
0040     JavaRDD<FPGrowth.FreqItemset<String>> freqItemsets = sc.parallelize(Arrays.asList(
0041       new FreqItemset<>(new String[] {"a"}, 15L),
0042       new FreqItemset<>(new String[] {"b"}, 35L),
0043       new FreqItemset<>(new String[] {"a", "b"}, 12L)
0044     ));
0045
0046     AssociationRules arules = new AssociationRules()
0047       .setMinConfidence(0.8);
0048     JavaRDD<AssociationRules.Rule<String>> results = arules.run(freqItemsets);
0049
0050     for (AssociationRules.Rule<String> rule : results.collect()) {
0051       System.out.println(
0052         rule.javaAntecedent() + " => " + rule.javaConsequent() + ", " + rule.confidence());
0053     }
0054     // $example off$
0055
0056     sc.stop();
0057   }
0058 }