python/ml/binarizer_example.py

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 from __future__ import print_function
0019
0020 from pyspark.sql import SparkSession
0021 # $example on$
0022 from pyspark.ml.feature import Binarizer
0023 # $example off$
0024
0025 if __name__ == "__main__":
0026     spark = SparkSession\
0027         .builder\
0028         .appName("BinarizerExample")\
0029         .getOrCreate()
0030
0031     # $example on$
0032     continuousDataFrame = spark.createDataFrame([
0033         (0, 0.1),
0034         (1, 0.8),
0035         (2, 0.2)
0036     ], ["id", "feature"])
0037
0038     binarizer = Binarizer(threshold=0.5, inputCol="feature", outputCol="binarized_feature")
0039
0040     binarizedDataFrame = binarizer.transform(continuousDataFrame)
0041
0042     print("Binarizer output with Threshold = %f" % binarizer.getThreshold())
0043     binarizedDataFrame.show()
0044     # $example off$
0045
0046     spark.stop()