avalanche.evaluation.metrics.ExperienceBWT

class avalanche.evaluation.metrics.ExperienceBWT[source]

The Experience Backward Transfer metric.

This plugin metric, computed separately for each experience, is the difference between the last accuracy result obtained on a certain experience and the accuracy result obtained when first training on that experience.

This metric is computed during the eval phase only.

__init__()

Creates an instance of the ExperienceForgetting metric.

Methods

__init__()

Creates an instance of the ExperienceForgetting 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.

reset_last()

Resets the last metric value.

result([k])

See Forgetting documentation for more detailed information.

update(k, v[, initial])

Update forgetting metric.

Attributes