# # 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 typing import Generic, Tuple, TypeVar from pyspark.mllib.common import JavaModelWrapper DF = TypeVar("DF", int, float, Tuple[int, ...], Tuple[float, ...]) class TestResult(JavaModelWrapper, Generic[DF]): @property def pValue(self) -> float: ... @property def degreesOfFreedom(self) -> DF: ... @property def statistic(self) -> float: ... @property def nullHypothesis(self) -> str: ... class ChiSqTestResult(TestResult[int]): @property def method(self) -> str: ... class KolmogorovSmirnovTestResult(TestResult[int]): ...