covering_metric         Segment covering metric
cpd_metrics             Combined change-point accuracy metrics
default_window_sizes    Choose default scan window sizes
f1_score_cpd            Tolerant F1 score for change-point detection
ipm_statistic           Integral probability metric statistic
match_change_points     Match true and estimated change points
one_wasserstein_distance
                        One-dimensional Wasserstein distance
precision_recall_cpd    Tolerant precision and recall for change-point
                        detection
scan_cpd                Detect change points in a univariate time
                        series
scan_single_window      Run SCAN for one window size
swal_statistic          Local SCAN/Wasserstein split statistic
ts_cusum                Localize a mean change with a CUSUM statistic
ts_wasserstein          Localize a distributional change with a
                        Wasserstein statistic
vis_change_points       Visualize detected change points from a scan
                        result
vis_swal_curve          Visualize the SWAL/Wasserstein localization
                        curve for a region
vis_thresholds          Visualize scan statistics and bootstrap
                        thresholds
vis_time_series         Visualize a time series with optional
                        change-point markers
vis_vote_scree          Visualize retained change-point count by voting
                        threshold
vis_window_votes        Visualize ensemble vote counts for candidate
                        change points
