# ============================================================================= # ML Engine .gitignore # ============================================================================= # Python __pycache__/ *.py[cod] *$py.class *.so .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ *.egg-info/ .installed.cfg *.egg # Virtual environments .venv/ venv/ ENV/ # Jupyter .ipynb_checkpoints/ *.ipynb_checkpoints # IDE .idea/ .vscode/ *.swp *.swo # OS .DS_Store Thumbs.db # Logs *.log logs/ # ============================================================================= # ML-Specific - Modelos entrenados (se regeneran, son grandes) # ============================================================================= # Directorios de modelos (recursivo) models/**/attention/ models/**/base_models/ models/**/symbol_timeframe_models/ models/**/metamodels/ models/**/metamodels_neural/ # Archivos de modelos (recursivo en cualquier subdirectorio) models/**/*.joblib models/**/*.pt models/**/*.pth models/**/*.pkl models/**/*.h5 models/**/*.onnx models/**/*.bin # Resultados de backtest models/backtest_results*/ models/**/backtest_results*/ # Datos de entrenamiento (root-level data/ only, not src/data/) /data/ *.csv *.parquet *.feather # Cache de features cache/ *.cache # Checkpoints de entrenamiento checkpoints/ *.ckpt # MLflow / experiment tracking mlruns/ mlflow/ # Weights & Biases wandb/ # ============================================================================= # MANTENER EN REPOSITORIO (NO IGNORAR) # ============================================================================= # Código fuente: src/ # Configuración: config/ # Scripts: scripts/ # Documentación: *.md # Requirements: requirements*.txt, pyproject.toml # Docker: Dockerfile, docker-compose*.yml # Charts/visualizations code: charts/ (pero no outputs) # Excepciones - Mantener estos archivos aunque estén en carpetas ignoradas !models/.gitkeep !data/.gitkeep !charts/*.py !charts/*.ipynb # Environment example !.env.example .env .env.local