64 lines
1.4 KiB
Python
64 lines
1.4 KiB
Python
|
"""
|
||
|
|
The :mod:`sklearn.preprocessing` module includes scaling, centering,
|
||
|
|
normalization, binarization methods.
|
||
|
|
"""
|
||
|
|
|
||
|
|
from ._data import (
|
||
|
|
Binarizer,
|
||
|
|
KernelCenterer,
|
||
|
|
MaxAbsScaler,
|
||
|
|
MinMaxScaler,
|
||
|
|
Normalizer,
|
||
|
|
PowerTransformer,
|
||
|
|
QuantileTransformer,
|
||
|
|
RobustScaler,
|
||
|
|
StandardScaler,
|
||
|
|
add_dummy_feature,
|
||
|
|
binarize,
|
||
|
|
maxabs_scale,
|
||
|
|
minmax_scale,
|
||
|
|
normalize,
|
||
|
|
power_transform,
|
||
|
|
quantile_transform,
|
||
|
|
robust_scale,
|
||
|
|
scale,
|
||
|
|
)
|
||
|
|
from ._discretization import KBinsDiscretizer
|
||
|
|
from ._encoders import OneHotEncoder, OrdinalEncoder
|
||
|
|
from ._function_transformer import FunctionTransformer
|
||
|
|
from ._label import LabelBinarizer, LabelEncoder, MultiLabelBinarizer, label_binarize
|
||
|
|
from ._polynomial import PolynomialFeatures, SplineTransformer
|
||
|
|
from ._target_encoder import TargetEncoder
|
||
|
|
|
||
|
|
__all__ = [
|
||
|
|
"Binarizer",
|
||
|
|
"FunctionTransformer",
|
||
|
|
"KBinsDiscretizer",
|
||
|
|
"KernelCenterer",
|
||
|
|
"LabelBinarizer",
|
||
|
|
"LabelEncoder",
|
||
|
|
"MultiLabelBinarizer",
|
||
|
|
"MinMaxScaler",
|
||
|
|
"MaxAbsScaler",
|
||
|
|
"QuantileTransformer",
|
||
|
|
"Normalizer",
|
||
|
|
"OneHotEncoder",
|
||
|
|
"OrdinalEncoder",
|
||
|
|
"PowerTransformer",
|
||
|
|
"RobustScaler",
|
||
|
|
"SplineTransformer",
|
||
|
|
"StandardScaler",
|
||
|
|
"TargetEncoder",
|
||
|
|
"add_dummy_feature",
|
||
|
|
"PolynomialFeatures",
|
||
|
|
"binarize",
|
||
|
|
"normalize",
|
||
|
|
"scale",
|
||
|
|
"robust_scale",
|
||
|
|
"maxabs_scale",
|
||
|
|
"minmax_scale",
|
||
|
|
"label_binarize",
|
||
|
|
"quantile_transform",
|
||
|
|
"power_transform",
|
||
|
|
]
|