ModelOriented / triplotLinks
Triplot: Instance- and data-level explanations for the groups of correlated features.
☆9Updated 4 years ago
Alternatives and similar repositories for triplot
Users that are interested in triplot are comparing it to the libraries listed below
Sorting:
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- Surrogate Assisted Feature Extraction in R☆28Updated 2 years ago
- Machine learning explanations☆23Updated 2 months ago
- Variable importance via oscillations☆14Updated 4 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Honest calibration assessment for binary outcome predictions☆11Updated 2 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- Model verification, validation, and error analysis☆58Updated last year
- ☆9Updated 8 years ago
- R package for weighted model metrics☆11Updated last month
- R package for computing and visualizing fair ML metrics☆32Updated 2 years ago
- R code to encode categorical features for machine learning☆15Updated 3 years ago
- Explain black box with GLM☆23Updated 5 years ago
- Diagnostics for confounding of time-varying and other joint exposures☆10Updated 2 years ago
- Material for the Explainable Machine Learning Workshop☆18Updated 5 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- modelplotr☆15Updated 4 years ago
- Statistical Inference for Random Forests☆19Updated 6 years ago
- Successive Halving and Hyperband in the mlr3 ecosystem☆18Updated 3 months ago
- missCompare R package - intuitive missing data imputation framework☆39Updated 4 years ago
- Friedman's H-statistics☆30Updated 3 weeks ago
- Materials for the Teaching Data Science workshop at JSM 2019☆21Updated 5 years ago
- recommendations for creating R modeling packages☆41Updated 3 years ago
- Interpretability methods to analyze the behavior and individual predictions of modern neural networks in R.☆31Updated 2 months ago
- An R wrapper of SHAP python library☆59Updated 2 years ago
- R package for carrying out sensitivity analysis☆17Updated last week
- Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).☆19Updated last month
- R package for data preprocessing☆13Updated 5 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- A bit like 'stats::optim', but with torch☆10Updated 4 years ago