avalanche.evaluation.metrics.RunningEpochTopkAccuracy
- class avalanche.evaluation.metrics.RunningEpochTopkAccuracy(top_k)[source]
The average top-k accuracy across all minibatches up to the current epoch iteration. This plugin metric only works at training time.
At each iteration, this metric logs the top-k accuracy averaged over all patterns seen so far in the current epoch. The metric resets its state after each training epoch.
Methods
__init__
(top_k)Creates an instance of the RunningEpochTopkAccuracy 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)