ethograph.features.changepoints

Functions

add_NaN_boundaries	Merge NaN-transition boundaries with other changepoints -> binary mask.
correct_changepoints	Full interval-native correction pipeline.
correct_changepoints_automatic	Lightweight cleanup used while manually creating labels.
correct_changepoints_dense	Correct dense label arrays using changepoints (legacy ML pipeline).
extract_cp_times	Extract merged changepoint times from dataset.
find_nearest_turning_points_binary	Convert a 1D signal into a binary mask marking boundaries of peak regions.
find_peaks_binary	scipy.signal.find_peaks + NaN boundaries -> binary mask.
find_troughs_binary	Find troughs (local minima) + NaN boundaries -> binary mask.
merge_changepoints	Merge all changepoint variables in a dataset into a single boolean mask.
more_changepoint_features	Create changepoint-based features from a binary changepoint array.
snap_to_nearest_changepoint_time	Snap a clicked time (seconds) to the nearest changepoint time.