21in7 298d4ad95e feat: enhance train_model.py to dynamically determine CPU count for parallel processing ...

- Added a new function to accurately retrieve the number of allocated CPUs in containerized environments, improving parallel processing efficiency.
- Updated the dataset generation function to utilize the new CPU count function, ensuring optimal resource usage during model training.

Made-with: Cursor

2026-03-01 17:46:40 +09:00

..

__init__.py

feat: implement ML filter with LightGBM for trading signal validation

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

fetch_history.py

feat: add README and enhance scripts for data fetching and model training

2026-03-01 17:42:12 +09:00

train_model.py

feat: enhance train_model.py to dynamically determine CPU count for parallel processing

2026-03-01 17:46:40 +09:00