77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
|
#
|
||
|
|
# 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 Any, Dict, TypeVar, Union
|
||
|
|
from typing_extensions import Literal
|
||
|
|
|
||
|
|
import pyspark.ml.base
|
||
|
|
import pyspark.ml.param
|
||
|
|
import pyspark.ml.util
|
||
|
|
import pyspark.ml.wrapper
|
||
|
|
|
||
|
|
ParamMap = Dict[pyspark.ml.param.Param, Any]
|
||
|
|
PipelineStage = Union[pyspark.ml.base.Estimator, pyspark.ml.base.Transformer]
|
||
|
|
|
||
|
|
T = TypeVar("T")
|
||
|
|
P = TypeVar("P", bound=pyspark.ml.param.Params)
|
||
|
|
M = TypeVar("M", bound=pyspark.ml.base.Transformer)
|
||
|
|
JM = TypeVar("JM", bound=pyspark.ml.wrapper.JavaTransformer)
|
||
|
|
|
||
|
|
BinaryClassificationEvaluatorMetricType = Union[
|
||
|
|
Literal["areaUnderROC"], Literal["areaUnderPR"]
|
||
|
|
]
|
||
|
|
RegressionEvaluatorMetricType = Union[
|
||
|
|
Literal["rmse"], Literal["mse"], Literal["r2"], Literal["mae"], Literal["var"]
|
||
|
|
]
|
||
|
|
MulticlassClassificationEvaluatorMetricType = Union[
|
||
|
|
Literal["f1"],
|
||
|
|
Literal["accuracy"],
|
||
|
|
Literal["weightedPrecision"],
|
||
|
|
Literal["weightedRecall"],
|
||
|
|
Literal["weightedTruePositiveRate"],
|
||
|
|
Literal["weightedFalsePositiveRate"],
|
||
|
|
Literal["weightedFMeasure"],
|
||
|
|
Literal["truePositiveRateByLabel"],
|
||
|
|
Literal["falsePositiveRateByLabel"],
|
||
|
|
Literal["precisionByLabel"],
|
||
|
|
Literal["recallByLabel"],
|
||
|
|
Literal["fMeasureByLabel"],
|
||
|
|
]
|
||
|
|
MultilabelClassificationEvaluatorMetricType = Union[
|
||
|
|
Literal["subsetAccuracy"],
|
||
|
|
Literal["accuracy"],
|
||
|
|
Literal["hammingLoss"],
|
||
|
|
Literal["precision"],
|
||
|
|
Literal["recall"],
|
||
|
|
Literal["f1Measure"],
|
||
|
|
Literal["precisionByLabel"],
|
||
|
|
Literal["recallByLabel"],
|
||
|
|
Literal["f1MeasureByLabel"],
|
||
|
|
Literal["microPrecision"],
|
||
|
|
Literal["microRecall"],
|
||
|
|
Literal["microF1Measure"],
|
||
|
|
]
|
||
|
|
ClusteringEvaluatorMetricType = Union[Literal["silhouette"]]
|
||
|
|
RankingEvaluatorMetricType = Union[
|
||
|
|
Literal["meanAveragePrecision"],
|
||
|
|
Literal["meanAveragePrecisionAtK"],
|
||
|
|
Literal["precisionAtK"],
|
||
|
|
Literal["ndcgAtK"],
|
||
|
|
Literal["recallAtK"],
|
||
|
|
]
|