spark-instrumented-optimizer/python/pyspark/mllib/stat/test.pyi

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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 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]): ...