- Initialize DVC with local storage backend (task 1.6) - Create PostgreSQL schema for training_runs table (task 1.7) - Add SQLAlchemy database connection setup (task 1.8) - Create Pydantic config models for pipeline.yaml (task 2.1) - Add migration runner for database setup - Fix pyproject.toml package discovery config
22 lines
681 B
Text
22 lines
681 B
Text
Metadata-Version: 2.4
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Name: candle-ml
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Version: 0.1.0
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Summary: ML service for candlestick pattern recognition
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Requires-Python: >=3.11
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Requires-Dist: fastapi>=0.109.0
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Requires-Dist: uvicorn[standard]>=0.27.0
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Requires-Dist: scikit-learn>=1.4.0
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Requires-Dist: xgboost>=2.0.3
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Requires-Dist: pandas>=2.2.0
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Requires-Dist: numpy>=1.26.0
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Requires-Dist: joblib>=1.3.2
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Requires-Dist: mlflow>=2.10.0
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Requires-Dist: pyyaml>=6.0.1
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Requires-Dist: TA-Lib>=0.4.28
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Requires-Dist: dvc>=3.40.0
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Requires-Dist: sqlalchemy>=2.0.25
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Requires-Dist: psycopg2-binary>=2.9.9
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Requires-Dist: pydantic>=2.5.0
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Requires-Dist: pydantic-settings>=2.1.0
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Requires-Dist: matplotlib>=3.8.2
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Requires-Dist: seaborn>=0.13.1
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