adaa-polsl / RuleXAILinks
A rule-based aproach to explain the output of any machine learning model
☆15Updated last year
Alternatives and similar repositories for RuleXAI
Users that are interested in RuleXAI are comparing it to the libraries listed below
Sorting:
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Rule Extraction Methods for Interactive eXplainability☆48Updated 3 years ago
- Distributional Gradient Boosting Machines☆27Updated 3 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆33Updated 2 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆20Updated 4 years ago
- Meta-Feature Extractor☆30Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for …☆14Updated 5 months ago
- A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.☆57Updated last year
- Multi-Calibration & Multi-Accuracy Boosting for R☆33Updated 5 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆29Updated last week
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- Bayesian online change point detection and offline learning☆58Updated 6 years ago
- R package to compute distribution-free prediction bands using density estimators☆11Updated 4 years ago
- ☆16Updated 3 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Python implementation of iterative-random-forests☆68Updated 2 years ago
- Python package for missing-data imputation with deep learning☆156Updated last year
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 10 months ago
- Tutorial on Bayesian tests for Machine Learning☆78Updated 5 years ago
- GRATIS: GeneRAting TIme Series with diverse and controllable characteristics☆77Updated last year
- Random Forests for Change Point Detection☆58Updated 3 weeks ago
- Multi-Objective Counterfactuals☆43Updated 3 years ago
- R Functions implementing UCR Matrix Profile Algorithm☆75Updated last month
- Bayesian or-of-and☆36Updated 3 years ago
- The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.☆17Updated 7 years ago
- An extension of CatBoost to probabilistic modelling☆148Updated 2 years ago
- Generalized additive model with pairwise interactions☆68Updated last year