avalanche.evaluation.metrics.CumulativeForgettingPluginMetric

class avalanche.evaluation.metrics.CumulativeForgettingPluginMetric(reset_at='stream', emit_at='stream', mode='eval')

The CumulativeForgetting metric, describing the accuracy loss detected for a certain experience.

This plugin metric, computed separately for each experience, is the difference between the cumulative accuracy result obtained after first training on a experience and the accuracy result obtained on the same experience at the end of successive experiences.

This metric is computed during the eval phase only.

__init__(reset_at='stream', emit_at='stream', mode='eval')

Creates an instance of the CumulativeForgetting metric.

Methods

__init__([reset_at, emit_at, mode])	Creates an instance of the CumulativeForgetting 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, **kwargs)
before_training_iteration(strategy)
before_update(strategy)
reset()	Resets the metric internal state.
result()	Obtains the value of the metric.
update(strategy)