Coverage for pyspark/ml/tests/test_stat.py : 93%

# 

# 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 

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# the License. You may obtain a copy of the License at 

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# http://www.apache.org/licenses/LICENSE-2.0 

# 

# Unless required by applicable law or agreed to in writing, software 

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# 

import unittest 

from pyspark.ml.linalg import Vectors 

from pyspark.ml.stat import ChiSquareTest 

from pyspark.sql import DataFrame 

from pyspark.testing.mlutils import SparkSessionTestCase 

class ChiSquareTestTests(SparkSessionTestCase): 

def test_chisquaretest(self): 

data = [[0, Vectors.dense([0, 1, 2])], 

[1, Vectors.dense([1, 1, 1])], 

[2, Vectors.dense([2, 1, 0])]] 

df = self.spark.createDataFrame(data, ['label', 'feat']) 

res = ChiSquareTest.test(df, 'feat', 'label') 

# This line is hitting the collect bug described in #17218, commented for now. 

# pValues = res.select("degreesOfFreedom").collect()) 

self.assertIsInstance(res, DataFrame) 

fieldNames = set(field.name for field in res.schema.fields) 

expectedFields = ["pValues", "degreesOfFreedom", "statistics"] 

self.assertTrue(all(field in fieldNames for field in expectedFields)) 

if __name__ == "__main__": 

from pyspark.ml.tests.test_stat import * # noqa: F401 

try: 

import xmlrunner # type: ignore[import] 

testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2) 

except ImportError: 

testRunner = None 

unittest.main(testRunner=testRunner, verbosity=2)