avalanche.evaluation.metrics.ExperienceForwardTransfer

class avalanche.evaluation.metrics.ExperienceForwardTransfer

The Forward Transfer computed on each experience separately. The transfer is computed based on the accuracy metric.

__init__()

Creates an instance of the ExperienceForwardTransfer metric.

Methods

__init__()	Creates an instance of the ExperienceForwardTransfer metric.
after_backward(strategy)
after_eval(strategy)
after_eval_dataset_adaptation(strategy)
after_eval_exp(strategy)
after_eval_forward(strategy)
after_eval_iteration(strategy)
after_forward(strategy)
after_train_dataset_adaptation(strategy)
after_training(strategy)
after_training_epoch(strategy)
after_training_exp(strategy)
after_training_iteration(strategy)
after_update(strategy)
before_backward(strategy)
before_eval(strategy)
before_eval_dataset_adaptation(strategy)
before_eval_exp(strategy)
before_eval_forward(strategy)
before_eval_iteration(strategy)
before_forward(strategy)
before_train_dataset_adaptation(strategy)
before_training(strategy)
before_training_epoch(strategy)
before_training_exp(strategy)
before_training_iteration(strategy)
before_update(strategy)
metric_result(strategy)
metric_update(strategy)
reset()	Resets the metric.
result()	Forward transfer for all experiences.
result_key(k)	Forward transfer for an experience defined by its key.
update(k, v[, initial])	Update forward transfer metric.

Attributes

forward_transfer	The general metric to compute forward transfer
eval_exp_id	The current evaluation experience id
train_exp_id	The last encountered training experience id