content: """
  The :mod:`sklearn.preprocessing` module includes scaling, centering,
  normalization, binarization and imputation 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 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 OneHotEncoder
  
  from .data import PolynomialFeatures
  
  from .label import label_binarize
  from .label import LabelBinarizer
  from .label import LabelEncoder
  from .label import MultiLabelBinarizer
  
  from .imputation import Imputer
  
  
  __all__ = [
      'Binarizer',
      'FunctionTransformer',
      'Imputer',
      'KernelCenterer',
      'LabelBinarizer',
      'LabelEncoder',
      'MultiLabelBinarizer',
      'MinMaxScaler',
      'MaxAbsScaler',
      'Normalizer',
      'OneHotEncoder',
      'RobustScaler',
      'StandardScaler',
      'add_dummy_feature',
      'PolynomialFeatures',
      'binarize',
      'normalize',
      'scale',
      'robust_scale',
      'maxabs_scale',
      'minmax_scale',
      'label_binarize',
  ]
  