pdmlabs.evaluation.vus.affiliation.metrics

Functions

pr_from_events(events_pred, events_gt, Trange)	Compute the affiliation metrics including the precision/recall in [0,1], along with the individual precision/recall distances and probabilities
produce_all_results()	Produce the affiliation precision/recall for all files contained in the data repository :return: a dictionary indexed by data names, each containing a dictionary indexed by algorithm names, each containing the results of the affiliation metrics (precision, recall, individual probabilities and distances)
test_events(events)	Verify the validity of the input events :param events: list of events, each represented by a couple (start, stop) :return: None.

pdmlabs.evaluation.vus.affiliation.metrics.pr_from_events(events_pred, events_gt, Trange)

Compute the affiliation metrics including the precision/recall in [0,1], along with the individual precision/recall distances and probabilities

Parameters:

events_pred – list of predicted events, each represented by a couple

indicating the start and the stop of the event :param events_gt: list of ground truth events, each represented by a couple indicating the start and the stop of the event :param Trange: range of the series where events_pred and events_gt are included, represented as a couple (start, stop) :return: dictionary with precision, recall, and the individual metrics

pdmlabs.evaluation.vus.affiliation.metrics.produce_all_results()

Produce the affiliation precision/recall for all files contained in the data repository :return: a dictionary indexed by data names, each containing a dictionary indexed by algorithm names, each containing the results of the affiliation metrics (precision, recall, individual probabilities and distances)

pdmlabs.evaluation.vus.affiliation.metrics.test_events(events)

Verify the validity of the input events :param events: list of events, each represented by a couple (start, stop) :return: None. Raise an error for incorrect formed or non ordered events