vocalpy.metrics.segmentation.ir

Metrics for segmentation adapted from information retrieval.

Functions

concat_starts_and_stops(starts, stops)	Concatenate arrays of start and stop times into a single array of boundary times.
find_hits(hypothesis, reference[, ...])	Find hits in arrays of event times.
fscore(hypothesis, reference[, tolerance, ...])	Compute the F-score for a segmentation.
precision(hypothesis, reference[, ...])	Compute precision \(P\) for a segmentation.
precision_recall_fscore(hypothesis, ...[, ...])	Helper function that computes precision, recall, and the F-score.
recall(hypothesis, reference[, tolerance, ...])	Compute recall \(R\) for a segmentation.

Classes

IRMetricData(hits_ref, hits_hyp, diffs)

Class representing data used to compute an information retrieval metric.