64 lines
1.5 KiB
Python
64 lines
1.5 KiB
Python
"""Methods for scaling, centering, normalization, binarization, and more."""
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# Authors: The scikit-learn developers
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# SPDX-License-Identifier: BSD-3-Clause
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from ._data import (
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Binarizer,
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KernelCenterer,
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MaxAbsScaler,
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MinMaxScaler,
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Normalizer,
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PowerTransformer,
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QuantileTransformer,
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RobustScaler,
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StandardScaler,
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add_dummy_feature,
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binarize,
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maxabs_scale,
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minmax_scale,
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normalize,
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power_transform,
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quantile_transform,
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robust_scale,
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scale,
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)
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from ._discretization import KBinsDiscretizer
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from ._encoders import OneHotEncoder, OrdinalEncoder
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from ._function_transformer import FunctionTransformer
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from ._label import LabelBinarizer, LabelEncoder, MultiLabelBinarizer, label_binarize
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from ._polynomial import PolynomialFeatures, SplineTransformer
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from ._target_encoder import TargetEncoder
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__all__ = [
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"Binarizer",
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"FunctionTransformer",
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"KBinsDiscretizer",
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"KernelCenterer",
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"LabelBinarizer",
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"LabelEncoder",
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"MaxAbsScaler",
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"MinMaxScaler",
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"MultiLabelBinarizer",
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"Normalizer",
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"OneHotEncoder",
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"OrdinalEncoder",
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"PolynomialFeatures",
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"PowerTransformer",
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"QuantileTransformer",
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"RobustScaler",
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"SplineTransformer",
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"StandardScaler",
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"TargetEncoder",
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"add_dummy_feature",
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"binarize",
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"label_binarize",
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"maxabs_scale",
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"minmax_scale",
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"normalize",
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"power_transform",
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"quantile_transform",
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"robust_scale",
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"scale",
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]
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