21in7 6cd54b46d9 feat: apply stratified undersampling to training pipeline ...

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-03 00:03:09 +09:00

..

__init__.py

feat: implement ML filter with LightGBM for trading signal validation

2026-03-01 17:07:18 +09:00

deploy_model.sh

chore: Update MLXFilter model deployment and logging with new training results and ONNX file management

2026-03-02 01:08:12 +09:00

fetch_history.py

fix: fill NaN in oi_change/funding_rate after concat when columns missing in existing parquet

2026-03-02 14:13:00 +09:00

profile_training.py

feat: remove in-container retraining, training is now mac-only

2026-03-01 18:54:00 +09:00

run_optuna.sh

feat: add run_optuna.sh wrapper script for Optuna tuning

2026-03-02 14:50:50 +09:00

run_tests.sh

feat: enhance trading bot functionality and documentation

2026-03-02 01:51:53 +09:00

test_reverse_reenter.sh

feat: implement immediate re-entry after closing position on reverse signal

2026-03-02 01:34:36 +09:00

train_and_deploy.sh

feat: auto-detect first run in train_and_deploy.sh (365d full vs 35d upsert)

2026-03-02 14:15:00 +09:00

train_mlx_model.py

feat: MLX 임계값 탐색을 정밀도 우선(recall>=0.15 조건부)으로 변경

2026-03-01 23:54:38 +09:00

train_model.py

feat: apply stratified undersampling to training pipeline

2026-03-03 00:03:09 +09:00

tune_hyperparams.py

feat: implement Active Config pattern for automatic param promotion

2026-03-02 14:56:42 +09:00