| # |
| # 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. |
| # |
| |
| # $example on$ |
| from pyspark.mllib.fpm import FPGrowth |
| # $example off$ |
| from pyspark import SparkContext |
| |
| if __name__ == "__main__": |
| sc = SparkContext(appName="FPGrowth") |
| |
| # $example on$ |
| data = sc.textFile("data/mllib/sample_fpgrowth.txt") |
| transactions = data.map(lambda line: line.strip().split(' ')) |
| model = FPGrowth.train(transactions, minSupport=0.2, numPartitions=10) |
| result = model.freqItemsets().collect() |
| for fi in result: |
| print(fi) |
| # $example off$ |