3 Commits

Author	SHA1	Message	Date
21in7	3613e3bf18	feat: update active LGBM parameters and training log with new metrics ... - Updated active LGBM parameters with new timestamp, trial results, and model configurations to reflect recent training outcomes. - Added new entries to the training log, capturing detailed metrics including AUC, precision, recall, and tuned parameters for the latest model iterations. This update enhances the tracking of model performance and parameter tuning in the ML pipeline.	2026-03-03 00:21:43 +09:00
21in7	dcdaf9f90a	chore: update active LGBM parameters and add new training log entry ... - Updated timestamp and elapsed seconds in models/active_lgbm_params.json. - Adjusted baseline AUC and fold AUCs to reflect new model performance. - Added a new entry in models/training_log.json with detailed metrics from the latest training run, including tuned parameters and model path. Made-with: Cursor	2026-03-02 15:03:35 +09:00
21in7	6d82febab7	feat: implement Active Config pattern for automatic param promotion ... - tune_hyperparams.py: 탐색 완료 후 Best AUC > Baseline AUC 이면 models/active_lgbm_params.json 자동 갱신 - tune_hyperparams.py: 베이스라인을 active 파일 기준으로 측정 (active 없으면 코드 내 기본값 사용) - train_model.py: _load_lgbm_params()에 active 파일 자동 탐색 추가 우선순위: --tuned-params > active_lgbm_params.json > 하드코딩 기본값 - models/active_lgbm_params.json: 현재 best 파라미터로 초기화 - .gitignore: tune_results_*.json 제외, active 파일은 git 추적 유지 Made-with: Cursor	2026-03-02 14:56:42 +09:00