#
# 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
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from __future__ import print_function

from pyspark.sql import SparkSession
# $example on$
from pyspark.ml.linalg import Vectors
from pyspark.ml.stat import ChiSquareTest
# $example off$

"""
An example for Chi-square hypothesis testing.
Run with:
  bin/spark-submit examples/src/main/python/ml/chi_square_test_example.py
"""
if __name__ == "__main__":
    spark = SparkSession \
        .builder \
        .appName("ChiSquareTestExample") \
        .getOrCreate()

    # $example on$
    data = [(0.0, Vectors.dense(0.5, 10.0)),
            (0.0, Vectors.dense(1.5, 20.0)),
            (1.0, Vectors.dense(1.5, 30.0)),
            (0.0, Vectors.dense(3.5, 30.0)),
            (0.0, Vectors.dense(3.5, 40.0)),
            (1.0, Vectors.dense(3.5, 40.0))]
    df = spark.createDataFrame(data, ["label", "features"])

    r = ChiSquareTest.test(df, "features", "label").head()
    print("pValues: " + str(r.pValues))
    print("degreesOfFreedom: " + str(r.degreesOfFreedom))
    print("statistics: " + str(r.statistics))
    # $example off$

    spark.stop()
