Welcome to DRO Package Documentation

Documentation for dro 0.4.3, a Python package for distributionally robust optimization in machine learning. It supports linear and kernel models, neural networks, and tree ensembles, along with synthetic data generation and model evaluation tools.

• About
  • Synthetic data generation
  • Linear DRO models
  • NN DRO models
  • Tree-Ensembles DRO models
  • References
• Installation Guide
  • Install dro package
  • Solver selection
• Tutorials
  • Overview
  • Linear DRO Overview
  • Linear f-divergence DRO
  • Linear Wasserstein DRO
  • Linear Group DRO
  • Linear MMD-DRO
  • Linear Bayesian DRO
  • Linear Hybrid-Distance DRO
  • Neural DRO Overview
  • Neural DRO Robustness Certificates
  • Tree DRO
  • Personalization
• Examples
  • Linear f-divergence DRO
  • Linear Wasserstein DRO
  • Linear Hybrid-Distance DRO
  • Linear Bayesian DRO
  • Kernel DRO
  • Group DRO (Linear and Neural)
  • Neural Sinkhorn DRO
  • Other Neural DRO
  • Tree DRO
  • Personalization
• API
  • Data Modules
  • Linear DRO Methods
  • Neural Network DRO Methods
  • Tree-Ensembles DRO Methods