MLflow — Full ML Lifecycle for DSPy
Guide the user through using MLflow for DSPy auto-tracing, experiment tracking, model registry, and production deployment.
What is MLflow
MLflow is an open-source platform for the complete ML lifecycle. Its DSPy integration provides:
- Auto-tracing:
mlflow.dspy.autolog()traces all DSPy calls via OpenTelemetry - Experiment tracking: log parameters, metrics, and artifacts for optimization runs
- Model registry: version and stage optimized
[Description truncada. Veja o README completo no GitHub.]