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examples/src/main/python/mllib/summary_statistics_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. # from pyspark import SparkContext # $example on$ import numpy as np from pyspark.mllib.stat import Statistics # $example off$ if __name__ == "__main__": sc = SparkContext(appName="SummaryStatisticsExample") # SparkContext # $example on$ mat = sc.parallelize( [np.array([1.0, 10.0, 100.0]), np.array([2.0, 20.0, 200.0]), np.array([3.0, 30.0, 300.0])] ) # an RDD of Vectors # Compute column summary statistics. summary = Statistics.colStats(mat) print(summary.mean()) # a dense vector containing the mean value for each column print(summary.variance()) # column-wise variance print(summary.numNonzeros()) # number of nonzeros in each column # $example off$ sc.stop()