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examples/src/main/python/mllib/bisecting_k_means_example.py
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HyukjinKwon
[SPARK-32138] Drop Python 2.7, 3.4 and 3.5
14 июл 2020, 05:22
14 июл 2020, 05:22
4ad9bfd
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# # 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 numpy import array # $example off$ from pyspark import SparkContext # $example on$ from pyspark.mllib.clustering import BisectingKMeans # $example off$ if __name__ == "__main__": sc = SparkContext(appName="PythonBisectingKMeansExample") # SparkContext # $example on$ # Load and parse the data data = sc.textFile("data/mllib/kmeans_data.txt") parsedData = data.map(lambda line: array([float(x) for x in line.split(' ')])) # Build the model (cluster the data) model = BisectingKMeans.train(parsedData, 2, maxIterations=5) # Evaluate clustering cost = model.computeCost(parsedData) print("Bisecting K-means Cost = " + str(cost)) # $example off$ sc.stop()