xgboost.callback Namespace Reference

Data Structures
class	CallbackContainer
class	EarlyStopping
class	EvaluationMonitor
class	LearningRateScheduler
class	TrainingCallback
class	TrainingCheckPoint

Functions
List[Tuple[str, float, float]]	_aggcv (List[str] rlist)
_ART	_allreduce_metric (_ART score)

Variables
	_Score = Union[float, Tuple[float, float]]
	_ScoreList = Union[List[float], List[Tuple[float, float]]]
	_Model = Any
	_ART = TypeVar("_ART")

Detailed Description

Callback library containing training routines.  See :doc:`Callback Functions
</python/callbacks>` for a quick introduction.

Function Documentation

_aggcv()

List[Tuple[str, float, float]] xgboost.callback._aggcv ( List[str]  rlist )

protected

Aggregate cross-validation results.

_allreduce_metric()

_ART xgboost.callback._allreduce_metric ( _ART  score )

protected

Helper function for computing customized metric in distributed
environment.  Not strictly correct as many functions don't use mean value
as final result.