# # 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 inherit_doc, JavaModelWrapper __all__ = ["ChiSqTestResult", "KolmogorovSmirnovTestResult"] class TestResult(JavaModelWrapper): """ Base class for all test results. """ @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() @inherit_doc class ChiSqTestResult(TestResult): """ Contains test results for the chi-squared hypothesis test. """ @property def method(self): """ Name of the test method """ return self._java_model.method() @inherit_doc class KolmogorovSmirnovTestResult(TestResult): """ Contains test results for the Kolmogorov-Smirnov test. """