Examples
Explainability
- How to use DALEX with:
keras, parsnip, caret, mlr, H2O, xgboost. - Compare GBM models created in different languages: gbm and CatBoost in R / gbm in h2o / gbm in Python
- Comparison between BreakDown, LIME, Shapley
- Fraud detection with DALEX
- DALEX for teaching pt. 1, teaching pt. 2
- H2o AutoML with DALEX
- mlr3 benchmark with DALEX
Fairness & Interactive analysis
Explainability
- How to use dalex with:
xgboost, tensorflow, h2o (feat. autokeras, catboost, lightgbm) - Introduction to the dalex package: Titanic
- Key features explained: FIFA 20
- Multioutput predictive models: Explaining multiclass classification and multioutput regression
- More explanations: residuals, shap, lime
- Introduction to the Aspect module in dalex
Fairness
- Introduction to the Fairness module in dalex
- Advanced tutorial on bias detection in dalex
- Tutorial: fairness in regression
Interactive analysis
- Introduction to the Arena module in dalex
- Arena documentation: Getting Started & Demos
Tutorial: Basic XAI (in R & Python)
Blog: Responsible Machine Learning- Part 1: Introduction
- Part 2: Permutation-based variable importance
- Part 3: Partial Dependence profile
- Part 4: Break Down method
- Part 5: Shapley values
- Part 6: LIME method
- Part 7: Ceteris Paribus profiles