avalanche.evaluation.metrics.TrainedExperienceTopkAccuracy

class avalanche.evaluation.metrics.TrainedExperienceTopkAccuracy(top_k)

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

This metric only works at eval time.

__init__(top_k)

Creates an instance of the TrainedExperienceTopkAccuracy metric.

Methods

__init__(top_k)	Creates an instance of the TrainedExperienceTopkAccuracy 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)	Only update the top-k accuracy with results from experiences that have been trained on