# # 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 # $example on$ from pyspark.ml.clustering import GaussianMixture # $example off$ from pyspark.sql import SparkSession """ A simple example demonstrating Gaussian Mixture Model (GMM). Run with: bin/spark-submit examples/src/main/python/ml/gaussian_mixture_example.py """ if __name__ == "__main__": spark = SparkSession\ .builder\ .appName("PythonGuassianMixtureExample")\ .getOrCreate() # $example on$ # loads data dataset = spark.read.format("libsvm").load("data/mllib/sample_kmeans_data.txt") gmm = GaussianMixture().setK(2) model = gmm.fit(dataset) print("Gaussians: ") model.gaussiansDF.show() # $example off$ spark.stop()