71 lines
1.7 KiB
Python
71 lines
1.7 KiB
Python
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"""
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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 ._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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from ._polynomial import PolynomialFeatures
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from ._polynomial import SplineTransformer
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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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"SplineTransformer",
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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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