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venv/Lib/site-packages/sklearn/preprocessing/__init__.py

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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',
+]