feat(ml): add database schema, config parser, and DVC setup

- 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

services/ml/candle_ml.egg-info/PKG-INFO

@@ -0,0 +1,22 @@
+Metadata-Version: 2.4
+Name: candle-ml
+Version: 0.1.0
+Summary: ML service for candlestick pattern recognition
+Requires-Python: >=3.11
+Requires-Dist: fastapi>=0.109.0
+Requires-Dist: uvicorn[standard]>=0.27.0
+Requires-Dist: scikit-learn>=1.4.0
+Requires-Dist: xgboost>=2.0.3
+Requires-Dist: pandas>=2.2.0
+Requires-Dist: numpy>=1.26.0
+Requires-Dist: joblib>=1.3.2
+Requires-Dist: mlflow>=2.10.0
+Requires-Dist: pyyaml>=6.0.1
+Requires-Dist: TA-Lib>=0.4.28
+Requires-Dist: dvc>=3.40.0
+Requires-Dist: sqlalchemy>=2.0.25
+Requires-Dist: psycopg2-binary>=2.9.9
+Requires-Dist: pydantic>=2.5.0
+Requires-Dist: pydantic-settings>=2.1.0
+Requires-Dist: matplotlib>=3.8.2
+Requires-Dist: seaborn>=0.13.1