gaitmap.evaluation_utils: Helper to evaluate the output of the algorithms

Helper functions to evaluate the output of algorithms.

Functions

evaluate_segmented_stride_list(*, ...[, ...])	Find True Positives, False Positives and True Negatives by comparing a segmented stride list with ground truth.
match_stride_lists(*, stride_list_a, ...[, ...])	Find matching strides in two stride lists with a certain tolerance.
recall_score()	Compute the recall.
precision_score()	Compute the precision.
f1_score()	Compute the F1 score, also known as balanced F-score or F-measure.
precision_recall_f1_score()	Compute precision, recall and F1-score.
evaluate_stride_event_list(*, ground_truth, ...)	Find True Positives, False Positives and True Negatives by comparing an stride event list with ground truth.
calculate_parameter_errors(*, ...[, id_column])	Calculate the error per row between a parameter predicted and a given ground truth.
calculate_aggregated_parameter_errors(*, ...)	Calculate various error metrics between a parameter predicted and a given ground truth.