26 lines
944 B
Python
26 lines
944 B
Python
|
"""Transformers for missing value imputation"""
|
||
|
|
|
||
|
|
import typing
|
||
|
|
|
||
|
|
from ._base import MissingIndicator, SimpleImputer
|
||
|
|
from ._knn import KNNImputer
|
||
|
|
|
||
|
|
if typing.TYPE_CHECKING:
|
||
|
|
# Avoid errors in type checkers (e.g. mypy) for experimental estimators.
|
||
|
|
# TODO: remove this check once the estimator is no longer experimental.
|
||
|
|
from ._iterative import IterativeImputer # noqa
|
||
|
|
|
||
|
|
__all__ = ["MissingIndicator", "SimpleImputer", "KNNImputer"]
|
||
|
|
|
||
|
|
|
||
|
|
# TODO: remove this check once the estimator is no longer experimental.
|
||
|
|
def __getattr__(name):
|
||
|
|
if name == "IterativeImputer":
|
||
|
|
raise ImportError(
|
||
|
|
f"{name} is experimental and the API might change without any "
|
||
|
|
"deprecation cycle. To use it, you need to explicitly import "
|
||
|
|
"enable_iterative_imputer:\n"
|
||
|
|
"from sklearn.experimental import enable_iterative_imputer"
|
||
|
|
)
|
||
|
|
raise AttributeError(f"module {__name__} has no attribute {name}")
|