89 lines
2.3 KiB
Python
89 lines
2.3 KiB
Python
|
import typing
|
||
|
|
|
||
|
|
from ._plot import LearningCurveDisplay, ValidationCurveDisplay
|
||
|
|
from ._search import GridSearchCV, ParameterGrid, ParameterSampler, RandomizedSearchCV
|
||
|
|
from ._split import (
|
||
|
|
BaseCrossValidator,
|
||
|
|
BaseShuffleSplit,
|
||
|
|
GroupKFold,
|
||
|
|
GroupShuffleSplit,
|
||
|
|
KFold,
|
||
|
|
LeaveOneGroupOut,
|
||
|
|
LeaveOneOut,
|
||
|
|
LeavePGroupsOut,
|
||
|
|
LeavePOut,
|
||
|
|
PredefinedSplit,
|
||
|
|
RepeatedKFold,
|
||
|
|
RepeatedStratifiedKFold,
|
||
|
|
ShuffleSplit,
|
||
|
|
StratifiedGroupKFold,
|
||
|
|
StratifiedKFold,
|
||
|
|
StratifiedShuffleSplit,
|
||
|
|
TimeSeriesSplit,
|
||
|
|
check_cv,
|
||
|
|
train_test_split,
|
||
|
|
)
|
||
|
|
from ._validation import (
|
||
|
|
cross_val_predict,
|
||
|
|
cross_val_score,
|
||
|
|
cross_validate,
|
||
|
|
learning_curve,
|
||
|
|
permutation_test_score,
|
||
|
|
validation_curve,
|
||
|
|
)
|
||
|
|
|
||
|
|
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 ._search_successive_halving import ( # noqa
|
||
|
|
HalvingGridSearchCV,
|
||
|
|
HalvingRandomSearchCV,
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
__all__ = [
|
||
|
|
"BaseCrossValidator",
|
||
|
|
"BaseShuffleSplit",
|
||
|
|
"GridSearchCV",
|
||
|
|
"TimeSeriesSplit",
|
||
|
|
"KFold",
|
||
|
|
"GroupKFold",
|
||
|
|
"GroupShuffleSplit",
|
||
|
|
"LeaveOneGroupOut",
|
||
|
|
"LeaveOneOut",
|
||
|
|
"LeavePGroupsOut",
|
||
|
|
"LeavePOut",
|
||
|
|
"RepeatedKFold",
|
||
|
|
"RepeatedStratifiedKFold",
|
||
|
|
"ParameterGrid",
|
||
|
|
"ParameterSampler",
|
||
|
|
"PredefinedSplit",
|
||
|
|
"RandomizedSearchCV",
|
||
|
|
"ShuffleSplit",
|
||
|
|
"StratifiedKFold",
|
||
|
|
"StratifiedGroupKFold",
|
||
|
|
"StratifiedShuffleSplit",
|
||
|
|
"check_cv",
|
||
|
|
"cross_val_predict",
|
||
|
|
"cross_val_score",
|
||
|
|
"cross_validate",
|
||
|
|
"learning_curve",
|
||
|
|
"LearningCurveDisplay",
|
||
|
|
"permutation_test_score",
|
||
|
|
"train_test_split",
|
||
|
|
"validation_curve",
|
||
|
|
"ValidationCurveDisplay",
|
||
|
|
]
|
||
|
|
|
||
|
|
|
||
|
|
# TODO: remove this check once the estimator is no longer experimental.
|
||
|
|
def __getattr__(name):
|
||
|
|
if name in {"HalvingGridSearchCV", "HalvingRandomSearchCV"}:
|
||
|
|
raise ImportError(
|
||
|
|
f"{name} is experimental and the API might change without any "
|
||
|
|
"deprecation cycle. To use it, you need to explicitly import "
|
||
|
|
"enable_halving_search_cv:\n"
|
||
|
|
"from sklearn.experimental import enable_halving_search_cv"
|
||
|
|
)
|
||
|
|
raise AttributeError(f"module {__name__} has no attribute {name}")
|