avalanche.evaluation.metrics.EpochTopkAccuracy

class avalanche.evaluation.metrics.EpochTopkAccuracy(top_k)[source]

The average top-k accuracy over a single training epoch. This plugin metric only works at training time.

The top-k accuracy will be logged after each training epoch by computing the number of correctly predicted patterns during the epoch divided by the overall number of patterns encountered in that epoch.

__init__(top_k)[source]

Creates an instance of the EpochTopkAccuracy metric.

Methods

__init__(top_k)

Creates an instance of the EpochTopkAccuracy 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)

reset([strategy])

Resets the metric internal state.

result([strategy])

Obtains the value of the metric.

update(strategy)