auto update regression

Redo regressions

Author: scarlehoff

README.md

@@ -79,4 +79,4 @@ When developing locally you can test your changes with pytest, running from the
 
 This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License version 3 as published by the Free Software Foundation.
 
-© Copyright 2021-2025, the NNPDF collaboration
+© Copyright 2021-2026, the NNPDF collaboration

extra_tests/regression_fits/central_16.exportgrid

@@ -51,23 +51,23 @@
   ],
   "stop_epoch": 967,
   "best_epoch": 855,
-  "erf_tr": 2.362083911895752,
-  "erf_vl": 1.265812635421753,
-  "chi2": 2.0859556269824955,
+  "erf_tr": 2.362081289291382,
+  "erf_vl": 1.2658170461654663,
+  "chi2": 2.0859551680715462,
   "pos_state": "POS_PASS",
   "arc_lengths": [
-    1.2979895715442105,
-    1.3124065067216886,
-    1.1789800942696005,
-    1.0006737762903166,
-    1.200504063666006
+    1.2979897268424645,
+    1.312405495068131,
+    1.1789801301841878,
+    1.0006737705933855,
+    1.2005035497385685
   ],
   "integrability": [
-    0.0009354545618405173,
-    0.0012178469187344998,
-    4.779973983182195e-05,
-    0.466399125754833,
-    0.006792138039604045
+    0.0009354548237716282,
+    0.0012178452161616116,
+    4.779973403498672e-05,
+    0.46639937162399386,
+    0.006792142638006371
   ],
   "hyperparameters": "from runcard"
 }

extra_tests/regression_fits/central_16.json

@@ -51,23 +51,23 @@
   ],
   "stop_epoch": 1100,
   "best_epoch": 1099,
-  "erf_tr": 5.97723388671875,
-  "erf_vl": 3.4990525245666504,
-  "chi2": 4.381587180770746,
+  "erf_tr": 5.977235317230225,
+  "erf_vl": 3.4990622997283936,
+  "chi2": 4.381588206571691,
   "pos_state": "POS_VETO",
   "arc_lengths": [
-    1.712775910191214,
-    0.9923111630836161,
-    1.1436002692804712,
-    1.076288518361933,
-    3.2355188950357427
+    1.7127755553480135,
+    0.9923110324011902,
+    1.1436003400413464,
+    1.076288777496849,
+    3.2355233257733054
   ],
   "integrability": [
-    0.00400399666978041,
-    8.830079366028976e-06,
-    2.4468626861895437e-05,
-    0.055345799308270105,
-    0.01078959734877627
+    0.004003996145913189,
+    8.830079423371995e-06,
+    2.446863373944952e-05,
+    0.05534580023959301,
+    0.010789581050630881
   ],
   "hyperparameters": "from runcard"
 }

extra_tests/regression_fits/feature_scaling_81.exportgrid

@@ -51,23 +51,23 @@
   ],
   "stop_epoch": 1100,
   "best_epoch": 1099,
-  "erf_tr": 4.2807135581970215,
-  "erf_vl": 3.3266186714172363,
-  "chi2": 3.4827443054456753,
+  "erf_tr": 4.2807111740112305,
+  "erf_vl": 3.326626777648926,
+  "chi2": 3.482740442461102,
   "pos_state": "POS_VETO",
   "arc_lengths": [
-    1.1038534073695876,
-    1.214106618573878,
-    0.9906460988002569,
-    0.9904843941410231,
-    0.9907098742029666
+    1.1038534273767917,
+    1.214106642913849,
+    0.9906460986680914,
+    0.9904843943008906,
+    0.9907098739613726
   ],
   "integrability": [
-    0.46771079301834073,
-    1.2506341934204102,
-    0.08181700296700017,
-    0.10192170739173889,
-    0.5177502781152733
+    0.46771080791950215,
+    1.25063419342041,
+    0.08181699179112917,
+    0.10192120075225847,
+    0.5177502781152727
   ],
   "hyperparameters": "from runcard"
 }

extra_tests/regression_fits/feature_scaling_81.json

@@ -55,25 +55,25 @@
       "trainable": false
     }
   ],
-  "stop_epoch": 11522,
-  "best_epoch": 4903,
-  "erf_tr": 1.6248929500579834,
-  "erf_vl": 0.9076236486434937,
-  "chi2": 1.4442275197882402,
+  "stop_epoch": 15700,
+  "best_epoch": 13587,
+  "erf_tr": 2.1196844577789307,
+  "erf_vl": 0.8210590481758118,
+  "chi2": 1.7925870508179629,
   "pos_state": "POS_PASS",
   "arc_lengths": [
-    2.531884543928029,
-    1.1447020219572455,
-    1.239618631151049,
-    1.0331898500092604,
-    3.2586913877079025
+    1.5785285063740908,
+    1.108418756710704,
+    1.17064087051076,
+    1.037690223378407,
+    1.536976118192871
   ],
   "integrability": [
-    0.0007645657460669815,
-    0.12421590648591563,
-    0.00025561133770721223,
-    0.054943872150033934,
-    0.04629806894809163
+    0.0011480157700103624,
+    0.09819559380412157,
+    0.0002892889788205233,
+    0.0197739701252424,
+    0.005321289645508598
   ],
   "hyperparameters": {
     "optimizer": "Adam",