| # |
| # 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. |
| # |
| |
| """ |
| An example demonstrating PrefixSpan. |
| Run with: |
| bin/spark-submit examples/src/main/python/ml/prefixspan_example.py |
| """ |
| # $example on$ |
| from pyspark.ml.fpm import PrefixSpan |
| # $example off$ |
| from pyspark.sql import Row, SparkSession |
| |
| if __name__ == "__main__": |
| spark = SparkSession\ |
| .builder\ |
| .appName("PrefixSpanExample")\ |
| .getOrCreate() |
| sc = spark.sparkContext |
| |
| # $example on$ |
| df = sc.parallelize([Row(sequence=[[1, 2], [3]]), |
| Row(sequence=[[1], [3, 2], [1, 2]]), |
| Row(sequence=[[1, 2], [5]]), |
| Row(sequence=[[6]])]).toDF() |
| |
| prefixSpan = PrefixSpan(minSupport=0.5, maxPatternLength=5, |
| maxLocalProjDBSize=32000000) |
| |
| # Find frequent sequential patterns. |
| prefixSpan.findFrequentSequentialPatterns(df).show() |
| # $example off$ |
| |
| spark.stop() |