Welcome to Metalearners’s Documentation!

Contents

• Motivation
  • Why CATE estimation?
  • Why MetaLearners?
  • Why not causalml or econml?
• Background
  • CATE estimation
  • MetaLearners
• Glossary
• What about parallelism?
• Examples
  • Estimating CATEs with MetaLearners
  • Estimating ATEs with DRLearner
  • Reusing base models
  • Explainability: Lime plots of MetaLearners
  • Explainability: Feature importance and SHAP values
  • Model selection with Optuna
  • Tuning hyperparameters of a MetaLearner with MetaLearnerGridSearch
  • Generating data
  • Estimating CATEs for survival analysis
  • What if I know the propensity score?
  • Converting a MetaLearner to ONNX
  • Using Sparse Covariate Matrices
• Development
• FAQ
• API Documentation
• Changelog