pumps-anomaly-detection docs

This documentation is organized as separate guides so each topic can be read independently.

Documentation map

• Getting Started: first end-to-end run from data prep to dashboards
• Dataset (SKAB): expected raw data schema and scenario handling
• Models: model families, outputs, and when to use each model
• MLflow: experiment tracking, registry behavior, and troubleshooting
• Monitoring: Prometheus + Grafana setup and dashboard interpretation
• Publish Docs: deployment to GitHub Pages

Suggested reading order

1. Getting Started
2. Dataset (SKAB)
3. Models
4. MLflow
5. Monitoring
6. Publish Docs