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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.mllib.common import JavaModelWrapper
__all__ = ["ChiSqTestResult"]
class ChiSqTestResult(JavaModelWrapper):
"""
.. note:: Experimental
Object containing the test results for the chi-squared hypothesis test.
"""
@property
def method(self):
"""
Name of the test method
"""
return self._java_model.method()
@property
def pValue(self):
"""
The probability of obtaining a test statistic result at least as
extreme as the one that was actually observed, assuming that the
null hypothesis is true.
"""
return self._java_model.pValue()
@property
def degreesOfFreedom(self):
"""
Returns the degree(s) of freedom of the hypothesis test.
Return type should be Number(e.g. Int, Double) or tuples of Numbers.
"""
return self._java_model.degreesOfFreedom()
@property
def statistic(self):
"""
Test statistic.
"""
return self._java_model.statistic()
@property
def nullHypothesis(self):
"""
Null hypothesis of the test.
"""
return self._java_model.nullHypothesis()
def __str__(self):
return self._java_model.toString()
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