interpretml / fastSparse
☆22Updated last year
Alternatives and similar repositories for fastSparse:
Users that are interested in fastSparse are comparing it to the libraries listed below
- Create sparse and accurate risk scoring systems!☆35Updated 6 months ago
- Statistical inference for fairness auditing☆12Updated last year
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆70Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 8 months ago
- Generalized Optimal Sparse Decision Trees☆62Updated 11 months ago
- ☆11Updated 2 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 5 months ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 4 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago
- Generalized Optimal Sparse Decision Trees☆52Updated this week
- Bayesian or-of-and☆34Updated 2 years ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- ☆54Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆42Updated last year
- Achieve error-rate fairness between societal groups for any score-based classifier.☆16Updated 9 months ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆26Updated last month
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- ☆20Updated this week
- python tools to check recourse in linear classification☆75Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 10 months ago
- Delicatessen: the Python one-stop sandwich (variance) shop 🥪☆22Updated 2 months ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Beta calibration☆28Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆19Updated last year
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆39Updated 10 months ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 5 years ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago