xgboost.callback.EvaluationMonitor Class Reference

Inheritance diagram for xgboost.callback.EvaluationMonitor:

Public Member Functions
None	__init__ (self, int rank=0, int period=1, bool show_stdv=False)
bool	after_iteration (self, _Model model, int epoch, TrainingCallback.EvalsLog evals_log)
_Model	after_training (self, _Model model)
Public Member Functions inherited from xgboost.callback.TrainingCallback
_Model	before_training (self, _Model model)
bool	before_iteration (self, _Model model, int epoch, EvalsLog evals_log)

Data Fields
	printer_rank
	show_stdv
	period

Protected Member Functions
str	_fmt_metric (self, str data, str metric, float score, Optional[float] std)

Protected Attributes
	_latest

Additional Inherited Members
Static Public Attributes inherited from xgboost.callback.TrainingCallback
	EvalsLog = Dict[str, Dict[str, _ScoreList]]

Detailed Description

Print the evaluation result at each iteration.

.. versionadded:: 1.3.0

Parameters
----------

rank :
    Which worker should be used for printing the result.
period :
    How many epoches between printing.
show_stdv :
    Used in cv to show standard deviation.  Users should not specify it.

Constructor & Destructor Documentation

__init__()

None xgboost.callback.EvaluationMonitor.__init__	(		self,
		int	rank = 0,
		int	period = 1,
		bool	show_stdv = False
	)

Reimplemented from xgboost.callback.TrainingCallback.

Member Function Documentation

after_iteration()

bool xgboost.callback.EvaluationMonitor.after_iteration	(		self,
		_Model	model,
		int	epoch,
		TrainingCallback.EvalsLog	evals_log
	)

Run after each iteration.  Return True when training should stop.

Reimplemented from xgboost.callback.TrainingCallback.

after_training()

_Model xgboost.callback.EvaluationMonitor.after_training	(		self,
		_Model	model
	)

Run after training is finished.

Reimplemented from xgboost.callback.TrainingCallback.

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The documentation for this class was generated from the following file:

• External/xgboost/python-package/xgboost/callback.py