python/ml/isotonic_regression_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 """
0019 Isotonic Regression Example.
0020
0021 Run with:
0022   bin/spark-submit examples/src/main/python/ml/isotonic_regression_example.py
0023 """
0024 from __future__ import print_function
0025
0026 # $example on$
0027 from pyspark.ml.regression import IsotonicRegression
0028 # $example off$
0029 from pyspark.sql import SparkSession
0030
0031 if __name__ == "__main__":
0032     spark = SparkSession\
0033         .builder\
0034         .appName("IsotonicRegressionExample")\
0035         .getOrCreate()
0036
0037     # $example on$
0038     # Loads data.
0039     dataset = spark.read.format("libsvm")\
0040         .load("data/mllib/sample_isotonic_regression_libsvm_data.txt")
0041
0042     # Trains an isotonic regression model.
0043     model = IsotonicRegression().fit(dataset)
0044     print("Boundaries in increasing order: %s\n" % str(model.boundaries))
0045     print("Predictions associated with the boundaries: %s\n" % str(model.predictions))
0046
0047     # Makes predictions.
0048     model.transform(dataset).show()
0049     # $example off$
0050
0051     spark.stop()