yramon / LimeCounterfactual
Hybrid algorithm based on SEDC and LIME for computing Evidence Counterfactuals (LIME-Counterfactual): explaining the model predictions of any classifier using a minimal set of features, such that removing these features results in a predicted class change.
☆11Updated 4 years ago
Alternatives and similar repositories for LimeCounterfactual:
Users that are interested in LimeCounterfactual are comparing it to the libraries listed below
- Heuristic best-first algorithm for computing Evidence Counterfactuals (SEDC): explaining the model predictions of any classifier using a …☆15Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Create sparse and accurate risk scoring systems!☆36Updated 8 months ago
- Public home of pycorels, the python binding to CORELS☆78Updated 4 years ago
- List of python packages for causal inference☆17Updated 3 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- Python package for Imputation Methods☆248Updated last year
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆88Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated 2 years ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆288Updated last year
- Python implementation of iterative-random-forests☆66Updated last year
- Python Accumulated Local Effects package☆164Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Causal Graphical Models in Python☆246Updated 2 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Generalized Optimal Sparse Decision Trees☆62Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆173Updated last year
- 💊 Comparing causality methods in a fair and just way.☆138Updated 5 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆24Updated 4 years ago
- Flexible tool for bias detection, visualization, and mitigation☆87Updated 2 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Missing data amputation and exploration functions for Python☆68Updated 2 years ago
- Bayesian Additive Regression Trees For Python☆223Updated last year
- Explaining the output of machine learning models with more accurately estimated Shapley values☆158Updated this week
- Confidence sequences and uniform boundaries☆62Updated 5 months ago
- Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series☆132Updated 2 years ago
- simple customizable risk scores in python☆136Updated last year
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 5 years ago
- Code and documentation for experiments in the TreeExplainer paper☆184Updated 5 years ago