Confidence intervals for scikit-learn forest algorithms
☆288Apr 20, 2025Updated 11 months ago
Alternatives and similar repositories for forest-confidence-interval
Users that are interested in forest-confidence-interval are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆421Feb 10, 2023Updated 3 years ago
- A garden for scikit-learn compatible trees☆287Jun 20, 2024Updated last year
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Aug 7, 2020Updated 5 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Dec 12, 2017Updated 8 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆523Sep 22, 2021Updated 4 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆489Aug 11, 2017Updated 8 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆468Aug 14, 2023Updated 2 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Jun 10, 2025Updated 9 months ago
- Experimental Gradient Boosting Machines in Python with numba.☆189Dec 26, 2018Updated 7 years ago
- Machine Learning Time-Series Platform☆683Jan 17, 2025Updated last year
- Compiled Decision Trees for scikit-learn☆229Apr 25, 2025Updated 11 months ago
- scikit-learn compatible implementation of stability selection.☆214Jun 5, 2023Updated 2 years ago
- ☆761Jul 18, 2023Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,488Mar 1, 2026Updated 3 weeks ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Feb 10, 2026Updated last month
- machine learning with logical rules in Python☆657Jan 31, 2024Updated 2 years ago
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆467Feb 27, 2025Updated last year
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆989Jan 22, 2026Updated 2 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,622Nov 13, 2025Updated 4 months ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Apr 29, 2016Updated 9 years ago
- Python implementation of the rulefit algorithm☆442Oct 8, 2023Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,092Feb 2, 2026Updated last month
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆383Jan 8, 2022Updated 4 years ago
- ML-Ensemble – high performance ensemble learning☆863Nov 13, 2023Updated 2 years ago
- Common post-estimation tasks for scikit-learn☆17Nov 30, 2016Updated 9 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆185Mar 21, 2023Updated 3 years ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,433Aug 20, 2024Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Mar 21, 2016Updated 10 years ago
- A high performance implementation of HDBSCAN clustering.☆3,086Updated this week
- Python solver for mixed-effects models☆97Jun 3, 2025Updated 9 months ago
- A proof-of-concept for a RAG to query the scikit-learn documentation☆29Aug 18, 2025Updated 7 months ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆241Oct 13, 2018Updated 7 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,816Feb 23, 2024Updated 2 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Mar 5, 2021Updated 5 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Mar 10, 2016Updated 10 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Feb 27, 2017Updated 9 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Aug 8, 2016Updated 9 years ago
- ☆76Jan 23, 2026Updated 2 months ago