68 lines
1.6 KiB
Python
68 lines
1.6 KiB
Python
"""
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The :mod:`sklearn.preprocessing` module includes scaling, centering,
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normalization, binarization methods.
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"""
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from ._function_transformer import FunctionTransformer
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from ._data import Binarizer
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from ._data import KernelCenterer
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from ._data import MinMaxScaler
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from ._data import MaxAbsScaler
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from ._data import Normalizer
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from ._data import RobustScaler
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from ._data import StandardScaler
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from ._data import QuantileTransformer
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from ._data import add_dummy_feature
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from ._data import binarize
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from ._data import normalize
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from ._data import scale
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from ._data import robust_scale
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from ._data import maxabs_scale
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from ._data import minmax_scale
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from ._data import quantile_transform
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from ._data import power_transform
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from ._data import PowerTransformer
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from ._data import PolynomialFeatures
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from ._encoders import OneHotEncoder
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from ._encoders import OrdinalEncoder
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from ._label import label_binarize
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from ._label import LabelBinarizer
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from ._label import LabelEncoder
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from ._label import MultiLabelBinarizer
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from ._discretization import KBinsDiscretizer
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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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'MultiLabelBinarizer',
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'MinMaxScaler',
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'MaxAbsScaler',
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'QuantileTransformer',
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'Normalizer',
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'OneHotEncoder',
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'OrdinalEncoder',
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'PowerTransformer',
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'RobustScaler',
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'StandardScaler',
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'add_dummy_feature',
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'PolynomialFeatures',
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'binarize',
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'normalize',
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'scale',
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'robust_scale',
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'maxabs_scale',
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'minmax_scale',
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'label_binarize',
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'quantile_transform',
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'power_transform',
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]
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