avalanche.evaluation.metrics.TrainedExperienceAccuracy

class avalanche.evaluation.metrics.TrainedExperienceAccuracy[source]

At the end of each experience, this plugin metric reports the average accuracy for only the experiences that the model has been trained on so far.

This metric only works at eval time.

__init__()[source]

Creates an instance of TrainedExperienceAccuracy metric by first constructing AccuracyPluginMetric

Methods

__init__()

Creates an instance of TrainedExperienceAccuracy metric by first constructing AccuracyPluginMetric

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)

reset([strategy])

Resets the metric internal state.

result([strategy])

Obtains the value of the metric.

update(strategy)

Only update the accuracy with results from experiences that have been trained on