nredell / shapFlexLinks
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
☆74Updated 5 years ago
Alternatives and similar repositories for shapFlex
Users that are interested in shapFlex are comparing it to the libraries listed below
Sorting:
- Explaining the output of machine learning models with more accurately estimated Shapley values☆166Updated 2 weeks ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆88Updated last year
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆82Updated last month
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 7 months ago
- Fast approximate Shapley values in R☆125Updated 3 months ago
- Documentation for the DALEX project☆36Updated last year
- Distributional Random Forests (Cevid et al., 2020)☆45Updated 2 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- mixgb: multiple imputation through XGBoost☆23Updated 4 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆192Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆54Updated this week
- Nested cross-validation for accurate confidence intervals for prediction error.☆43Updated 3 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆31Updated last year
- ☆14Updated 5 months ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Parallelizable Bayesian Optimization in R☆113Updated 2 years ago
- Heterogeneous effects analysis of conjoint experiments using BART☆10Updated 2 years ago
- ☆34Updated 3 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆24Updated last year
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Adaptive and automatic gradient boosting computations.☆69Updated 3 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- GRATIS: GeneRAting TIme Series with diverse and controllable characteristics☆76Updated last year
- ☆29Updated 4 years ago
- The Tidymodels Extension for Time Series Boosting Models☆58Updated 3 years ago