ModelOriented / treeshapLinks
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
☆88Updated 10 months ago
Alternatives and similar repositories for treeshap
Users that are interested in treeshap are comparing it to the libraries listed below
Sorting:
- Fast approximate Shapley values in R☆122Updated last week
- Explaining the output of machine learning models with more accurately estimated Shapley values☆160Updated this week
- Friedman's H-statistics☆30Updated 3 weeks ago
- Trees are all you need☆114Updated last year
- Different SHAP algorithms☆48Updated 2 months ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 4 years ago
- mixgb: multiple imputation through XGBoost☆23Updated 3 weeks ago
- Deep learning framework for the mlr3 ecosystem based on torch☆46Updated last week
- SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'☆118Updated last year
- An R implementation of TabNet☆111Updated 2 weeks ago
- SHAP Plots in R☆98Updated 2 months ago
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 2 years ago
- Extensions for the DALEX package☆67Updated 9 months ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Variable Importance Plots (VIPs)☆187Updated last year
- Shap values for model interpretation☆63Updated 5 years ago
- Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model☆25Updated 4 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- Probabilistic Learning for mlr3☆137Updated 3 weeks ago
- R package for missing-data imputation with deep learning☆34Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 8 months ago
- This package is for visualising variable importance and variable interaction.☆23Updated 10 months ago
- Automatic tuning of random forests☆34Updated last year
- counterfactuals: An R package for Counterfactual Explanation Methods☆21Updated 7 months ago
- Parallelizable Bayesian Optimization in R☆111Updated 2 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated this week
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆42Updated 9 months ago
- Visualizing Prediction Model Performance☆76Updated last year
- shinyBN: An online application for interactive Bayesian network inference and visualization☆45Updated 2 years ago