mlops-observability-cn
SKILL.md
MLOps Observability ποΈ
Glass box system - reproducible, traceable, monitored.
Features
1. MLflow Tracking π
Complete tracking setup:
cp references/mlflow-tracking.py ../your-project/src/tracking.py
Tracks:
- Config (params)
- Metrics (accuracy, loss)
- Models (sklearn/pytorch)
- Datasets (lineage)