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0001 # 0002 # Licensed to the Apache Software Foundation (ASF) under one or more 0003 # contributor license agreements. See the NOTICE file distributed with 0004 # this work for additional information regarding copyright ownership. 0005 # The ASF licenses this file to You under the Apache License, Version 2.0 0006 # (the "License"); you may not use this file except in compliance with 0007 # the License. You may obtain a copy of the License at 0008 # 0009 # http://www.apache.org/licenses/LICENSE-2.0 0010 # 0011 # Unless required by applicable law or agreed to in writing, software 0012 # distributed under the License is distributed on an "AS IS" BASIS, 0013 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 0014 # See the License for the specific language governing permissions and 0015 # limitations under the License. 0016 # 0017 0018 """ 0019 A simple example demonstrating Gaussian Mixture Model (GMM). 0020 Run with: 0021 bin/spark-submit examples/src/main/python/ml/gaussian_mixture_example.py 0022 """ 0023 from __future__ import print_function 0024 0025 # $example on$ 0026 from pyspark.ml.clustering import GaussianMixture 0027 # $example off$ 0028 from pyspark.sql import SparkSession 0029 0030 if __name__ == "__main__": 0031 spark = SparkSession\ 0032 .builder\ 0033 .appName("GaussianMixtureExample")\ 0034 .getOrCreate() 0035 0036 # $example on$ 0037 # loads data 0038 dataset = spark.read.format("libsvm").load("data/mllib/sample_kmeans_data.txt") 0039 0040 gmm = GaussianMixture().setK(2).setSeed(538009335) 0041 model = gmm.fit(dataset) 0042 0043 print("Gaussians shown as a DataFrame: ") 0044 model.gaussiansDF.show(truncate=False) 0045 # $example off$ 0046 0047 spark.stop()
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