Model Documentation

Documenting ML Models

Maintain model knowledge.

Model Cards

Name, version, date. Description, expected use. Training data, methodology. Performance metrics. Limitations, known issues.

Data Sheets

Dataset documentation. Collection process. Labeling. Known biases.

Best Practices

Version control. Clear ownership. Update as model evolves.

Key Takeaways

1. Model cards summarize key info
2. Document data, not just model
3. Keep documentation updated