content: /*
   * 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;
  
  // $example on$
  import java.util.Arrays;
  import java.util.List;
  
  import org.apache.spark.api.java.JavaRDD;
  import org.apache.spark.api.java.JavaSparkContext;
  // $example off$
  import org.apache.spark.api.java.function.Function;
  // $example on$
  import org.apache.spark.mllib.fpm.AssociationRules;
  import org.apache.spark.mllib.fpm.FPGrowth;
  import org.apache.spark.mllib.fpm.FPGrowthModel;
  // $example off$
  
  import org.apache.spark.SparkConf;
  
  public class JavaSimpleFPGrowth {
  
    public static void main(String[] args) {
      SparkConf conf = new SparkConf().setAppName("FP-growth Example");
      JavaSparkContext sc = new JavaSparkContext(conf);
  
      // $example on$
      JavaRDD<String> data = sc.textFile("data/mllib/sample_fpgrowth.txt");
  
      JavaRDD<List<String>> transactions = data.map(
        new Function<String, List<String>>() {
          public List<String> call(String line) {
            String[] parts = line.split(" ");
            return Arrays.asList(parts);
          }
        }
      );
  
      FPGrowth fpg = new FPGrowth()
        .setMinSupport(0.2)
        .setNumPartitions(10);
      FPGrowthModel<String> model = fpg.run(transactions);
  
      for (FPGrowth.FreqItemset<String> itemset: model.freqItemsets().toJavaRDD().collect()) {
        System.out.println("[" + itemset.javaItems() + "], " + itemset.freq());
      }
  
      double minConfidence = 0.8;
      for (AssociationRules.Rule<String> rule
        : model.generateAssociationRules(minConfidence).toJavaRDD().collect()) {
        System.out.println(
          rule.javaAntecedent() + " => " + rule.javaConsequent() + ", " + rule.confidence());
      }
      // $example off$
  
      sc.stop();
    }
  }
  