sync: engine.py to hf-space (auto-deploy)

sync: engine.py to hf-space (auto-deploy)

Revert "fix: replace all /home/termius/ → /home/lahargnedebartoli/ (VM username fix)"

fix: replace all /home/termius/ → /home/lahargnedebartoli/ (VM username fix)

Brain cycle 83: Cat59 opponent graph features (arXiv 2303.16741 GATv2-TCN)

Brain cycle 83: Cat56-58 + engine v3.1-58cat (3 new SOTA 2026 categories)

Brain cycle 83: Cat55 market consensus deviation (MDPI 2026 fused model)

Brain cycle 82: fix calibration mutation bias — venn_abers boosted across all 3 GA impls

brain cycle79: space_id logging + cycle stagnation + hard reset

brain cycle79: lightgbm_brier model type + calibration mutation fix + S14 boost

sync: engine.py to hf-space (auto-deploy)

d1: DART dropout trees on LightGBM in GA loop — expected Brier delta -0.0025

D9 iter10: fix CLAUDE.md + engine.py docstring (35→54 categories, 3-way parity)

fix(engine): Cat15 polymarket fallback to book-implied prob from odds_data

Merge remote-tracking branch 'origin/main'

fix(engine): replace Cat14 constant placeholders with real defensive proxies

sync: engine.py to hf-space (auto-deploy)

brain-cycle-74: add isotonic_temporal calibration to GA

fix(engine): reset _season_spreads/_season_totals at season boundaries (Cat 52/54)

fix(engine): _ats_rate home_only=False was a no-op — ats53_a_away_only returned wrong values

feat(engine): add h_next_is_home + a_next_is_home to Cat6 [brain-cycle-71]

fix(engine): replace last bare except: with except Exception: in CV fitting block

sync: engine.py to hf-space (auto-deploy)

sync: engine.py to hf-space (auto-deploy)

sync: engine.py to hf-space (auto-deploy)

evolution: 4 critical fixes — elitism + CatBoost cap + feature penalty + n_splits=3

feat: MLP meta-learner for stacking (was LR, -0.003 Brier expected)

feat(engine): Add Cat51 Season Era Normalization (v3.1-50cat → v3.1-51cat)

feat: add /api/best endpoint + feature_indices in to_dict

feat(engine): Add Cat50 Temporal Win-Sequence Encoding (v3.1-49cat → v3.1-50cat)

feat: calibration map + predict_today improvements + app.py enhancements

feat: update ENGINE_VERSION v3.1-46cat → v3.1-49cat

feat: add logistic_regression model type to GA (MDPI 2026: best tabular Brier 0.199)

brain: add lr_platt post-hoc Platt scaling calibration option (cycle 2026-04-01)

feat: add lr_meta calibration option (LR Platt scaling on temporal hold-out slice)

brain: add lr_platt post-hoc Platt scaling calibration option (cycle 2026-04-01)

feat: add lr_meta calibration option (LR Platt scaling on temporal hold-out slice)

feat: add lr_meta calibration option (LR Platt scaling on temporal hold-out slice)

feat: add Cat47-49 (drive matchup, passing network, play-type PPP) — 34 new features

fix: remove corrupted [Resource] prefix from app.py

engine: v3.0-43cat — Cat 42 Shot Quality + Cat 45 Player Tracking (+22 features)

feat: engine v3.0-41cat — add Cat 39/41/43 to hf-space

feat: probability clipping [0.025,0.975] + LR as 14th model type

feat: MOVDA raw delta features (Cat37 6→13) + beta calibration + browser scraper

fix: LightGBM DART mode (boosting_type=dart, drop_rate=0.1)

feat: Cat 38 venue-conditional matchup features (14 new) + doc updates

fix: NSGA-II parsimony pressure + Venn-Abers calibration boost

fix: defensive guard against non-dict game entries

feat: feature cap + rank fusion + TabICLv2 notebook

fix: cap adaptive mutation at 0.15 (data shows >=0.20 is destructive)