python/mllib/fpgrowth_example.py

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 # $example on$
0019 from pyspark.mllib.fpm import FPGrowth
0020 # $example off$
0021 from pyspark import SparkContext
0022
0023 if __name__ == "__main__":
0024     sc = SparkContext(appName="FPGrowth")
0025
0026     # $example on$
0027     data = sc.textFile("data/mllib/sample_fpgrowth.txt")
0028     transactions = data.map(lambda line: line.strip().split(' '))
0029     model = FPGrowth.train(transactions, minSupport=0.2, numPartitions=10)
0030     result = model.freqItemsets().collect()
0031     for fi in result:
0032         print(fi)
0033     # $example off$