iancovert / shapley-regressionLinks
For calculating Shapley values via linear regression.
☆68Updated 4 years ago
Alternatives and similar repositories for shapley-regression
Users that are interested in shapley-regression are comparing it to the libraries listed below
Sorting:
- An amortized approach for calculating local Shapley value explanations☆99Updated last year
- Influence Estimation for Gradient-Boosted Decision Trees☆27Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 2 years ago
- A benchmark for distribution shift in tabular data☆53Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆97Updated 4 months ago
- Neural Additive Models (Google Research)☆70Updated 3 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆58Updated 4 months ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆83Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated 3 weeks ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- For calculating global feature importance using Shapley values.☆271Updated 2 weeks ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆64Updated 4 months ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- ☆22Updated 6 years ago
- ☆28Updated last year
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆21Updated 11 months ago
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆30Updated 5 years ago