avalanche.evaluation.metrics.MinibatchTopkAccuracy

class avalanche.evaluation.metrics.MinibatchTopkAccuracy(top_k)

The minibatch plugin top-k accuracy metric. This metric only works at training time.

This metric computes the average top-k accuracy over patterns from a single minibatch. It reports the result after each iteration.

__init__(top_k)

Creates an instance of the MinibatchTopkAccuracy metric.

Methods

__init__(top_k)	Creates an instance of the MinibatchTopkAccuracy 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)