avalanche.evaluation.metrics.accuracy_metrics
- avalanche.evaluation.metrics.accuracy_metrics(*, minibatch=False, epoch=False, epoch_running=False, experience=False, stream=False, trained_experience=False) List[PluginMetric] [source]
Helper method that can be used to obtain the desired set of plugin metrics.
- Parameters:
minibatch – If True, will return a metric able to log the minibatch accuracy at training time.
epoch – If True, will return a metric able to log the epoch accuracy at training time.
epoch_running – If True, will return a metric able to log the running epoch accuracy at training time.
experience – If True, will return a metric able to log the accuracy on each evaluation experience.
stream – If True, will return a metric able to log the accuracy averaged over the entire evaluation stream of experiences.
trained_experience – If True, will return a metric able to log the average evaluation accuracy only for experiences that the model has been trained on
- Returns:
A list of plugin metrics.