Contents

• 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