cv: register the adopted model as 'ft2' candidate (vm7 variant + wiener .20) - one-liner CLI, verified 1688.4

batteryswap_example/cv.py

@@ -161,7 +161,14 @@ def _vrel(t):
     return BASE_FEATURES + [c for c in ('vrel', 'vmin7_rank') if c in t.columns]
 
 
-VARIANTS = {'base': _base, 'ranks_add': _ranks_add, 'vrel': _vrel}
+def _vm7(t):
+    # the ADOPTED feature set (campaign 2, phase 59): champion features +
+    # fleet pct-rank of the 7d-min voltage
+    return BASE_FEATURES + ['vmin7_rank']
+
+
+VARIANTS = {'base': _base, 'ranks_add': _ranks_add, 'vrel': _vrel,
+            'vm7': _vm7}
 
 
 # --------------------------------------------------------------------------
@@ -301,6 +308,10 @@ CANDIDATES = {
     'rankavg25rf': dict(blend=('rf', 0.25)),
     'rankavg25gbm': dict(blend=('gbm', 0.25)),
     'frontier': dict(kind='logbag_rank', blend=('gbm', 0.30)),
+    # ft2 = ft_vmin7r_wnr20, ADOPTED at 3f9bf12 (submit.py Ft2RUL default);
+    # 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)),
 }