40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from typing import Generic, Tuple, TypeVar
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from pyspark.mllib.common import JavaModelWrapper
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DF = TypeVar("DF", int, float, Tuple[int, ...], Tuple[float, ...])
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class TestResult(JavaModelWrapper, Generic[DF]):
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@property
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def pValue(self) -> float: ...
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@property
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def degreesOfFreedom(self) -> DF: ...
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@property
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def statistic(self) -> float: ...
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@property
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def nullHypothesis(self) -> str: ...
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class ChiSqTestResult(TestResult[int]):
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@property
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def method(self) -> str: ...
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class KolmogorovSmirnovTestResult(TestResult[int]): ...
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