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Diffstat (limited to 'examples/src/main/python/mllib/power_iteration_clustering_example.py')
-rw-r--r-- | examples/src/main/python/mllib/power_iteration_clustering_example.py | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/examples/src/main/python/mllib/power_iteration_clustering_example.py b/examples/src/main/python/mllib/power_iteration_clustering_example.py new file mode 100644 index 0000000000..ca19c0ccb6 --- /dev/null +++ b/examples/src/main/python/mllib/power_iteration_clustering_example.py @@ -0,0 +1,44 @@ +# +# 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. +# + +from __future__ import print_function + +from pyspark import SparkContext +# $example on$ +from pyspark.mllib.clustering import PowerIterationClustering, PowerIterationClusteringModel +# $example off$ + +if __name__ == "__main__": + sc = SparkContext(appName="PowerIterationClusteringExample") # SparkContext + + # $example on$ + # Load and parse the data + data = sc.textFile("data/mllib/pic_data.txt") + similarities = data.map(lambda line: tuple([float(x) for x in line.split(' ')])) + + # Cluster the data into two classes using PowerIterationClustering + model = PowerIterationClustering.train(similarities, 2, 10) + + model.assignments().foreach(lambda x: print(str(x.id) + " -> " + str(x.cluster))) + + # Save and load model + model.save(sc, "target/org/apache/spark/PythonPowerIterationClusteringExample/PICModel") + sameModel = PowerIterationClusteringModel\ + .load(sc, "target/org/apache/spark/PythonPowerIterationClusteringExample/PICModel") + # $example off$ + + sc.stop() |