yaronshap / GloballyConsistentRules
Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation" by Cynthia Rudin and Yaron Shaposhnik https://ssrn.com/abstract=3395422
☆25Updated 2 years ago
Alternatives and similar repositories for GloballyConsistentRules:
Users that are interested in GloballyConsistentRules are comparing it to the libraries listed below
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 4 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Distributional Gradient Boosting Machines☆26Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- ☆13Updated last year
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 2 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- ☆8Updated 3 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆12Updated 2 years ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 3 years ago
- ☆8Updated 5 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆19Updated 10 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 10 months ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated last month
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 9 months ago
- Helpers for scikit learn☆16Updated 2 years ago
- R package to compute distribution-free prediction bands using density estimators☆9Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Python implementation of the paper 'Outcome-Adaptive Lasso: Variable Selection for Causal Inference'☆15Updated 4 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 4 years ago
- Statistical Inference and Sure Independence Screening via Ball Statistics☆31Updated 4 months ago
- ☆16Updated 8 months ago
- ☆16Updated 5 years ago
- Source code for the ACML 2019 paper "Functional Isolation Forest".☆21Updated 2 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- ☆42Updated 3 years ago
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Updated 5 years ago