correct_changepoints#

ethograph.features.changepoints.correct_changepoints(df, cp_times, min_duration_s, stitch_gap_s, max_expansion_s, max_shrink_s, label_thresholds_s=None, do_purge=True, do_stitch=True, do_snap=True, do_purge_after=True)[source]#

Full interval-native correction pipeline.

Return type:

DataFrame

Steps:

  1. purge_short_intervals — pre-cleanup (do_purge)

  2. stitch_intervals — merge same-label across small gaps (do_stitch)

  3. snap_boundaries — snap to changepoint times (do_snap)

  4. purge_short_intervals — post-cleanup (do_purge_after)