Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/scikit_learn-1.4.dev0-py3.8-linux-x86_64.egg/sklearn/preprocessing/__init__.py: 100%

1""" 

2The :mod:`sklearn.preprocessing` module includes scaling, centering, 

3normalization, binarization methods. 

4""" 

5 

6from ._data import ( 

7 Binarizer, 

8 KernelCenterer, 

9 MaxAbsScaler, 

10 MinMaxScaler, 

11 Normalizer, 

12 PowerTransformer, 

13 QuantileTransformer, 

14 RobustScaler, 

15 StandardScaler, 

16 add_dummy_feature, 

17 binarize, 

18 maxabs_scale, 

19 minmax_scale, 

20 normalize, 

21 power_transform, 

22 quantile_transform, 

23 robust_scale, 

24 scale, 

25) 

26from ._discretization import KBinsDiscretizer 

27from ._encoders import OneHotEncoder, OrdinalEncoder 

28from ._function_transformer import FunctionTransformer 

29from ._label import LabelBinarizer, LabelEncoder, MultiLabelBinarizer, label_binarize 

30from ._polynomial import PolynomialFeatures, SplineTransformer 

31from ._target_encoder import TargetEncoder 

32 

33__all__ = [ 

34 "Binarizer", 

35 "FunctionTransformer", 

36 "KBinsDiscretizer", 

37 "KernelCenterer", 

38 "LabelBinarizer", 

39 "LabelEncoder", 

40 "MultiLabelBinarizer", 

41 "MinMaxScaler", 

42 "MaxAbsScaler", 

43 "QuantileTransformer", 

44 "Normalizer", 

45 "OneHotEncoder", 

46 "OrdinalEncoder", 

47 "PowerTransformer", 

48 "RobustScaler", 

49 "SplineTransformer", 

50 "StandardScaler", 

51 "TargetEncoder", 

52 "add_dummy_feature", 

53 "PolynomialFeatures", 

54 "binarize", 

55 "normalize", 

56 "scale", 

57 "robust_scale", 

58 "maxabs_scale", 

59 "minmax_scale", 

60 "label_binarize", 

61 "quantile_transform", 

62 "power_transform", 

63]