Aluode/PerceptionLabPortable

1"""Methods for scaling, centering, normalization, binarization, and more."""
2
3# Authors: The scikit-learn developers
4# SPDX-License-Identifier: BSD-3-Clause
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    "MaxAbsScaler",
41    "MinMaxScaler",
42    "MultiLabelBinarizer",
43    "Normalizer",
44    "OneHotEncoder",
45    "OrdinalEncoder",
46    "PolynomialFeatures",
47    "PowerTransformer",
48    "QuantileTransformer",
49    "RobustScaler",
50    "SplineTransformer",
51    "StandardScaler",
52    "TargetEncoder",
53    "add_dummy_feature",
54    "binarize",
55    "label_binarize",
56    "maxabs_scale",
57    "minmax_scale",
58    "normalize",
59    "power_transform",
60    "quantile_transform",
61    "robust_scale",
62    "scale",
63]
64