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Revert "fix: replace all /home/termius/ → /home/lahargnedebartoli/ (VM username fix)"
ClaudeThis reverts commit 64c86437f1d27b920790b2c054fc0287114390d9.1dc0b7f -
fix: replace all /home/termius/ → /home/lahargnedebartoli/ (VM username fix)
Claudehttps://claude.ai/code/session_0127NuynGmn5fsJBnjDbTpjg0eabc42
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Brain cycle 82: fix calibration mutation bias — venn_abers boosted across all 3 GA impls
ClaudePROBLEM: venn_abers is the confirmed best calibration (S13 pareto_best 0.21773, delta -0.00543), but mutation weights were PENALIZING it: - hf-space/app.py: init=22 → mutation=14 (dropped by 36%) - genetic_loop_v3.py: venn_abers MISSING ENTIRELY (only isotonic/sigmoid/none) FIXES: 1. hf-space/app.py mutation: venn_abers 14→25, none 22→16 - Now mutation preserves venn_abers instead of reverting to uncalibrated 2. genetic_loop_v3.py: add venn_abers to Kaggle GPU loop - Init + mutation both now use weighted choices matching HF island config - GPU Karpathy sessions will now explore venn_abers for first time Expected: GPU Kaggle loop discovers venn_abers advantage within first session. HF islands maintain calibration gains instead of mutating them away. https://claude.ai/code/session_01KtBfaHJZ3YzfFqzerNp23fd1af5f1
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d1: DART dropout trees on LightGBM in GA loop — expected Brier delta -0.0025
P012: Add boosting_type=dart, drop_rate=0.1, skip_drop=0.5, uniform_drop=True to LGBMClassifier in _build_model (genetic_loop_v3.py). DART prevents first-tree dominance, improves probability spread across [0.3,0.7], reduces reliability component of Brier. Consistent with Rashmi & Gilad-Bachrach 2015 (AISTATS). Already verified working in app.py stacking path — now applied to main GA loop.8a90d3f
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evolution: 4 critical fixes — elitism + CatBoost cap + feature penalty + n_splits=3
1. Brier-based elitism: protect top-2 by raw Brier in addition to composite (prevents fossil loss like S15's 0.22159 config disappearing) 2. CatBoost CPU cap: n_estimators=60 + early_stopping=15 on CPU (3-5x speedup on S10/S13 where catboost dominates) 3. Feature penalty: -0.05 per 200 features above 80 threshold (breaks the n_feat=200 trap that causes convergence) 4. Default n_splits: 5→3 for 1.6x faster walk-forward CV Expected: fleet 219→350 gen/hr, prevents config loss, better Brier pressure Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>9d4933d