ubc-systopia / gosdt-guessesLinks
Generalized Optimal Sparse Decision Trees
☆56Updated 2 months ago
Alternatives and similar repositories for gosdt-guesses
Users that are interested in gosdt-guesses are comparing it to the libraries listed below
Sorting:
- Generalized Optimal Sparse Decision Trees☆65Updated last year
- Editing machine learning models to reflect human knowledge and values☆127Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 7 months ago
- [Experimental] Global causal discovery algorithms☆106Updated 2 weeks ago
- For calculating global feature importance using Shapley values.☆272Updated last week
- AutoML for causal inference.☆227Updated 7 months ago
- Create sparse and accurate risk scoring systems!☆40Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆340Updated last month
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆69Updated 2 months ago
- Quantile Regression Forests compatible with scikit-learn.☆234Updated last week
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆142Updated last week
- Conformalized Quantile Regression☆281Updated 3 years ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆110Updated 3 months ago
- Optimal Sparse Decision Trees☆105Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆166Updated 3 weeks ago
- Python package for conformal prediction☆514Updated last month
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- A resource list for causality in statistics, data science and physics☆265Updated last week
- A Python package for modular causal inference analysis and model evaluations☆780Updated 4 months ago
- Effector - a Python package for global and regional effect methods☆113Updated 2 weeks ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 3 months ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated last month
- Competing Risks and Survival Analysis☆103Updated last week
- Conformal Anomaly Detection☆48Updated this week
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Trees FAst RashoMon Sets☆39Updated 2 months ago