cv: p_star hook in run_bgkf + 'ft2a10' candidate (the head/alpha-1.0 model) - one-liner CLI

batteryswap_example/cv.py

@@ -176,7 +176,7 @@ VARIANTS = {'base': _base, 'ranks_add': _ranks_add, 'vrel': _vrel,
 # --------------------------------------------------------------------------
 
 def run_bgkf(dataset_path=Path('dataset'), kind=None, variant='base',
-             blend=None, n_folds=N_FOLDS, origins=range(48)):
+             blend=None, n_folds=N_FOLDS, origins=range(48), p_star=None):
     """THE SCORE. Per fold: one fit on the TRAIN buildings' full closed-pair
     history (deployment-exact for a held-out fleet), then per scenario the
     TEST buildings are planned as a standalone fleet under submit.py's
@@ -199,7 +199,7 @@ def run_bgkf(dataset_path=Path('dataset'), kind=None, variant='base',
     # static path sets, everything else at models_cv module defaults
     # (p_be=0, floor_day=0, p_conf=0.5 - deployment does not touch them)
     p = mc.plan_tsroute
-    p.alpha = CHAMPION['p_star']
+    p.alpha = CHAMPION['p_star'] if p_star is None else p_star
     p.ec_margin, p.ec_pmax = CHAMPION['ec_margin'], CHAMPION['ec_pmax']
     p.split_days = CHAMPION['split_days']
     p.floor_scale, p.recent_deaths = CHAMPION['floor_scale'], 0.0
@@ -312,6 +312,9 @@ CANDIDATES = {
     # this cv-side recipe is bit-identical to running the deployed class
     # (parity check, phase 59): SCORE 1688.4, -71.8 +/- 23.5 vs baseline
     'ft2': dict(variant='vm7', blend=('wiener', 0.20)),
+    # the alpha-1.0 A/B (head 401f171): ft2 with planner appetite 1.0.
+    # Count-coupled vs ft2 (17W/24L on the increment) - public arbitrates.
+    'ft2a10': dict(variant='vm7', blend=('wiener', 0.20), p_star=1.0),
 }