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