# # 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 PowerIterationClustering. Run with: bin/spark-submit examples/src/main/python/ml/power_iteration_clustering_example.py """ # $example on$ from pyspark.ml.clustering import PowerIterationClustering # $example off$ from pyspark.sql import SparkSession if __name__ == "__main__": spark = SparkSession\ .builder\ .appName("PowerIterationClusteringExample")\ .getOrCreate() # $example on$ df = spark.createDataFrame([ (0, 1, 1.0), (0, 2, 1.0), (1, 2, 1.0), (3, 4, 1.0), (4, 0, 0.1) ], ["src", "dst", "weight"]) pic = PowerIterationClustering(k=2, maxIter=20, initMode="degree", weightCol="weight") # Shows the cluster assignment pic.assignClusters(df).show() # $example off$ spark.stop()