Python implementation of the rulefit algorithm
β445Oct 8, 2023Updated 2 years ago
Alternatives and similar repositories for rulefit
Users that are interested in rulefit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- machine learning with logical rules in Pythonβ664Jan 31, 2024Updated 2 years ago
- Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,601Updated this week
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)β44Dec 17, 2025Updated 7 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilitiesβ544Jan 6, 2026Updated 6 months ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box modelsβ492Aug 11, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for "High-Precision Model-Agnostic Explanations" paperβ816Jul 19, 2022Updated 4 years ago
- Public home of pycorels, the python binding to CORELSβ81Jun 25, 2020Updated 6 years ago
- Python Interface of the Scalable Bayesian Rule Listsβ20Feb 2, 2020Updated 6 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.β421Feb 10, 2023Updated 3 years ago
- H2O.ai Machine Learning Interpretability Resourcesβ490Dec 12, 2020Updated 5 years ago
- Fit interpretable models. Explain blackbox machine learning.β6,905Updated this week
- Confidence intervals for scikit-learn forest algorithmsβ288Updated this week
- RuleCOSI is a machine learning package that combine and simplifies tree ensembles and generates a single rule-based classifier that is smβ¦β11Oct 29, 2025Updated 9 months ago
- Learning Certifiably Optimal Rule Listsβ178Oct 16, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Python library for dynamic classifier and ensemble selectionβ507Jan 20, 2026Updated 6 months ago
- an R package for deriving Prediction Rule Ensemblesβ58Jun 6, 2025Updated last year
- scikit-learn compatible implementation of stability selection.β216Jun 5, 2023Updated 3 years ago
- β¬ Python Individual Conditional Expectation Plot Toolboxβ162May 29, 2020Updated 6 years ago
- A Python package for fitting Quinlan's Cubist regression modelβ60May 31, 2026Updated last month
- python partial dependence plot toolboxβ860Sep 3, 2024Updated last year
- Python Accumulated Local Effects packageβ172Feb 28, 2023Updated 3 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn modelsβ624Mar 24, 2025Updated last year
- moDel Agnostic Language for Exploration and eXplanationβ1,482Jul 15, 2026Updated 2 weeks ago
- Virtual machines for every use case on DigitalOcean β’ AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded oneβ¦β382Jan 8, 2022Updated 4 years ago
- An extension of LightGBM to probabilistic modellingβ389Jun 1, 2026Updated last month
- Python implementations of the Boruta all-relevant feature selection method.β1,624Nov 13, 2025Updated 8 months ago
- Helpers for scikit learnβ16Dec 26, 2022Updated 3 years ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Pythonβ1,011Apr 21, 2026Updated 3 months ago
- For calculating global feature importance using Shapley values.β293Updated this week
- scikit-learn gradient-boosting-model interactionsβ25Apr 29, 2023Updated 3 years ago
- ML-Ensemble β high performance ensemble learningβ866Nov 13, 2023Updated 2 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.β4,399Feb 19, 2025Updated last year
- End-to-end encrypted email - Proton Mail β’ AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- XGBoost Feature Interactions & Importanceβ500Nov 5, 2017Updated 8 years ago
- Generalized additive model with pairwise interactionsβ69Mar 22, 2024Updated 2 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.β451Apr 23, 2024Updated 2 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictionsβ2,777Apr 8, 2026Updated 3 months ago
- Natural Gradient Boosting for Probabilistic Predictionβ1,889Jul 1, 2026Updated 3 weeks ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and Tβ¦β14Aug 15, 2021Updated 4 years ago
- β759Jul 18, 2023Updated 3 years ago