1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
|
"""
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 ._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
from ._polynomial import PolynomialFeatures
from ._polynomial import SplineTransformer
__all__ = [
"Binarizer",
"FunctionTransformer",
"KBinsDiscretizer",
"KernelCenterer",
"LabelBinarizer",
"LabelEncoder",
"MultiLabelBinarizer",
"MinMaxScaler",
"MaxAbsScaler",
"QuantileTransformer",
"Normalizer",
"OneHotEncoder",
"OrdinalEncoder",
"PowerTransformer",
"RobustScaler",
"SplineTransformer",
"StandardScaler",
"add_dummy_feature",
"PolynomialFeatures",
"binarize",
"normalize",
"scale",
"robust_scale",
"maxabs_scale",
"minmax_scale",
"label_binarize",
"quantile_transform",
"power_transform",
]
|
