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"""
The :mod:`sklearn.preprocessing` module includes scaling, centering,
normalization, binarization methods.
"""
from ._data import (
Binarizer,
KernelCenterer,
MaxAbsScaler,
MinMaxScaler,
Normalizer,
PowerTransformer,
QuantileTransformer,
RobustScaler,
StandardScaler,
add_dummy_feature,
binarize,
maxabs_scale,
minmax_scale,
normalize,
power_transform,
quantile_transform,
robust_scale,
scale,
)
from ._discretization import KBinsDiscretizer
from ._encoders import OneHotEncoder, OrdinalEncoder
from ._function_transformer import FunctionTransformer
from ._label import LabelBinarizer, LabelEncoder, MultiLabelBinarizer, label_binarize
from ._polynomial import PolynomialFeatures, SplineTransformer
from ._target_encoder import TargetEncoder
__all__ = [
"Binarizer",
"FunctionTransformer",
"KBinsDiscretizer",
"KernelCenterer",
"LabelBinarizer",
"LabelEncoder",
"MultiLabelBinarizer",
"MinMaxScaler",
"MaxAbsScaler",
"QuantileTransformer",
"Normalizer",
"OneHotEncoder",
"OrdinalEncoder",
"PowerTransformer",
"RobustScaler",
"SplineTransformer",
"StandardScaler",
"TargetEncoder",
"add_dummy_feature",
"PolynomialFeatures",
"binarize",
"normalize",
"scale",
"robust_scale",
"maxabs_scale",
"minmax_scale",
"label_binarize",
"quantile_transform",
"power_transform",
]
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