NorskRegnesentral / shaprLinks
Explaining the output of machine learning models with more accurately estimated Shapley values
☆162Updated last week
Alternatives and similar repositories for shapr
Users that are interested in shapr are comparing it to the libraries listed below
Sorting:
- Fast approximate Shapley values in R☆124Updated last month
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆88Updated 11 months ago
- Variable Importance Plots (VIPs)☆187Updated last year
- Parallelizable Bayesian Optimization in R☆112Updated 2 years ago
- SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'☆120Updated last year
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Causal Inference using Bayesian Additive Regression Trees☆80Updated 10 months ago
- Trees are all you need☆113Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆109Updated 4 months ago
- Hierarchical and Grouped Time Series☆110Updated 6 months ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆188Updated last year
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- The msm R package for continuous-time multi-state modelling of panel data☆62Updated last week
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- 📍 Interactive Studio for Explanatory Model Analysis☆332Updated last year
- SHAP Plots in R☆100Updated 3 weeks ago
- autoxgboost - Automatic tuning and fitting of xgboost☆123Updated 3 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated last year
- Shap values for model interpretation☆63Updated 5 years ago
- Adaptive and automatic gradient boosting computations.☆69Updated 2 years ago
- An R wrapper of SHAP python library☆59Updated 2 years ago
- An R implementation of TabNet☆112Updated last week
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆246Updated 2 months ago
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 2 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆96Updated 2 years ago
- iml: interpretable machine learning R package☆500Updated 4 months ago
- Dataflow Programming for Machine Learning in R☆144Updated this week
- The set of functions used for time series analysis and in forecasting.☆92Updated last week
- DOCUMENTATION:☆128Updated last month