Welcome to NannyML’s documentation!

Contents:

• Quickstart
  • What is NannyML?
  • Installing NannyML
  • Content of quickstart
  • Just the code
  • Walk through the quickstart
  • Insights and Follow Ups
• Tutorials
  • Setting Up
  • Estimating Performance
  • Monitoring Realized Performance
  • Comparing Estimated and Realized Performance
  • Detecting Data Drift
  • Adjusting Plots
• How It Works
  • Metadata extraction
  • Data Reconstruction with PCA
  • Confidence-based Performance Estimation (CBPE)
  • Chunking data
• Examples
  • Binary Classification: California Housing Dataset
• Troubleshooting
  • Dealing with a MissingMetadataException
• Datasets
  • Synthetic Binary Classification Dataset
  • Synthetic Multiclass Classification Dataset
  • California Housing Dataset
• Glossary
• API reference
  • nannyml package
• Contributing
  • Types of Contributions
  • Get Started!
  • Pull Request Guidelines
  • Tips
  • Deploying

Indices and tables

• Index

• Module Index

• Search Page