ModelOriented / treeshapLinks
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
☆91Updated last year
Alternatives and similar repositories for treeshap
Users that are interested in treeshap are comparing it to the libraries listed below
Sorting:
- Different SHAP algorithms☆54Updated last month
- Fast approximate Shapley values in R☆125Updated 5 months ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆170Updated this week
- Trees are all you need☆112Updated last year
- SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'☆126Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 2 months ago
- SHAP Plots in R☆109Updated 2 weeks ago
- Shap values for model interpretation☆64Updated 5 years ago
- Parallelizable Bayesian Optimization in R☆113Updated 3 years ago
- Variable Importance Plots (VIPs)☆189Updated last month
- shinyBN: An online application for interactive Bayesian network inference and visualization☆46Updated 3 years ago
- Friedman's H-statistics☆31Updated 2 weeks ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- Automatic tuning of random forests☆34Updated last month
- Probabilistic Learning for mlr3☆144Updated 2 weeks ago
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 3 years ago
- Extensions for the DALEX package☆68Updated last year
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- An R implementation of TabNet☆114Updated 2 months ago
- DOCUMENTATION:☆129Updated 2 weeks ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- The msm R package for continuous-time multi-state modelling of panel data☆62Updated 3 months ago
- mixgb: multiple imputation through XGBoost☆23Updated 5 months ago
- Fast multivariate imputation by random forests.☆71Updated 6 months ago
- CRAN Task View: Anomaly Detection☆109Updated last week
- An R wrapper of SHAP python library☆58Updated 2 years ago
- This package is for visualising variable importance and variable interaction.☆27Updated 2 months ago
- Visualizing Prediction Model Performance☆79Updated 2 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 3 years ago