"""Choose G3's thresholds on all 175 labelled clusters (SELECTION.md, "G3"). python3 tune_gate3.py # writes gate3-tuning.json and gate3-frozen.json """ import itertools, json, pathlib import gate2 as g import gate3 as g3 G2 = json.loads(pathlib.Path('gate2-frozen.json').read_text()) rows = [] for name in ('dev', 'test'): cand = json.loads(pathlib.Path(f'candidates-{name}.json').read_text()) lab = json.loads(pathlib.Path(f'labels-{name}.json').read_text()) rows += [dict(g3.signals(m), id=c, label=lab[c]['label']) for c, m in cand.items()] for mapfile, labfile in (('recover-map.json', 'labels-recover.json'), ('validate-map.json', 'labels-validate.json')): mp = json.loads(pathlib.Path(mapfile).read_text()) lab = json.loads(pathlib.Path(labfile).read_text()) rows += [dict(g3.signals(e['members']), id=c, label=lab[c]['label']) for c, e in mp.items()] pathlib.Path('gate3-tuning.json').write_text(json.dumps(rows, indent=1)) def deciles(key): v = sorted(r[key] for r in rows) return [v[int(len(v) * q / 10)] for q in range(1, 10)] best = None for s1, pct, mmin, w in itertools.product(deciles('S1'), [0.90, 0.95, 0.975, 0.99, 0.999], deciles('MMIN'), [None, 0.30, 0.40, 0.50, 0.60]): gate = {'S1': s1, 'PCT': pct, 'MMIN': mmin, 'W': w} acc = [r for r in rows if g3.passes(r, gate)] if not acc: continue n1 = sum(r['label'] >= 1 for r in acc) if n1 / len(acc) < 0.85: continue key = (n1, sum(r['label'] == 2 for r in acc), -(3 + (w is not None))) if best is None or key > best[0]: best = (key, gate) gate = best[1] pathlib.Path('gate3-frozen.json').write_text(json.dumps(gate, indent=1)) def band(size): return '<=9' if size <= 9 else '10-12' if size <= 12 else '13-25' if size <= 25 else '>=26' rules = (('old gate', g.old_passes), ('G2', lambda r: g.g2_passes(r, G2)), ('G3', lambda r: g3.passes(r, gate))) print(f'tuning set: {len(rows)} clusters, {sum(r["label"] >= 1 for r in rows)} labelled >=1, ' f'{sum(r["label"] == 2 for r in rows)} labelled 2') print('CHOSEN G3:', gate) for name, accept in rules: acc = [r for r in rows if accept(r)] n1 = sum(r['label'] >= 1 for r in acc) print(f' {name:9} accepted {len(acc):3} label>=1 {n1:3} P1+ {n1 / len(acc) if acc else 0:.2f} ' f'label2 {sum(r["label"] == 2 for r in acc)}') print('\nby size band (accepted / label>=1):') for b in ('<=9', '10-12', '13-25', '>=26'): sub = [r for r in rows if band(r['size']) == b] cells = [] for name, accept in rules: acc = [r for r in sub if accept(r)] cells.append(f'{name} {len(acc)}/{sum(r["label"] >= 1 for r in acc)}') print(f' {b:6} {len(sub):3} clusters ({sum(r["label"] >= 1 for r in sub)} >=1) ' + ' '.join(cells))