xgboost.training._PackedBooster Class Reference

Public Member Functions
None	__init__ (self, _CVFolds cvfolds)
None	update (self, int iteration, Optional[Objective] obj)
List[str]	eval (self, int iteration, Optional[Metric] feval, bool output_margin)
Any	set_attr (self, **Optional[Any] kwargs)
Optional[str]	attr (self, str key)
None	set_param (self, Union[Dict, Iterable[Tuple[str, Any]], str] params, Optional[str] value=None)
int	num_boosted_rounds (self)
int	best_iteration (self)
None	best_iteration (self, int iteration)
float	best_score (self)
None	best_score (self, float score)

Data Fields
	cvfolds

Member Function Documentation

attr()

Optional[str] xgboost.training._PackedBooster.attr	(		self,
		str	key
	)

Redirect to booster attr.

best_iteration() [1/2]

int xgboost.training._PackedBooster.best_iteration

(

self

)

Get best_iteration

best_iteration() [2/2]

None xgboost.training._PackedBooster.best_iteration	(		self,
		int	iteration
	)

Get best_iteration

best_score()

float xgboost.training._PackedBooster.best_score

(

self

)

Get best_score.

eval()

List[str] xgboost.training._PackedBooster.eval	(		self,
		int	iteration,
		Optional[Metric]	feval,
		bool	output_margin
	)

Iterate through folds for eval

num_boosted_rounds()

int xgboost.training._PackedBooster.num_boosted_rounds

(

self

)

Number of boosted rounds.

set_attr()

Any xgboost.training._PackedBooster.set_attr	(		self,
		**Optional[Any]	kwargs
	)

Iterate through folds for setting attributes

set_param()

None xgboost.training._PackedBooster.set_param	(		self,
		Union[Dict, Iterable[Tuple[str, Any]], str]	params,
		Optional[str]	value = None
	)

Iterate through folds for set_param

update()

None xgboost.training._PackedBooster.update	(		self,
		int	iteration,
		Optional[Objective]	obj
	)

Iterate through folds for update

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

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