Confidence intervals for scikit-learn forest algorithms
☆288Apr 13, 2026Updated 3 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☆288Jun 20, 2024Updated 2 years ago
- 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆491Aug 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.☆128Jun 10, 2025Updated last year
- Experimental Gradient Boosting Machines in Python with numba.☆189Dec 26, 2018Updated 7 years ago
- Compiled Decision Trees for scikit-learn☆230Apr 25, 2025Updated last year
- Machine Learning Time-Series Platform☆682Jan 17, 2025Updated last year
- scikit-learn compatible implementation of stability selection.☆215Jun 5, 2023Updated 3 years ago
- ☆759Jul 18, 2023Updated 3 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Apr 8, 2026Updated 3 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A library of sklearn compatible categorical variable encoders☆2,493Updated this week
- machine learning with logical rules in Python☆664Jan 31, 2024Updated 2 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,625Nov 13, 2025Updated 8 months ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆1,010Apr 21, 2026Updated 3 months ago
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆467Feb 27, 2025Updated last year
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Apr 29, 2016Updated 10 years ago
- Python implementation of the rulefit algorithm☆445Oct 8, 2023Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,114Jun 29, 2026Updated 3 weeks ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆382Jan 8, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ML-Ensemble – high performance ensemble learning☆866Nov 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☆182Mar 21, 2023Updated 3 years ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,433Aug 20, 2024Updated last year
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Mar 5, 2021Updated 5 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,398Feb 19, 2025Updated last year
- A proof-of-concept for a RAG to query the scikit-learn documentation☆29Aug 18, 2025Updated 11 months ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Mar 21, 2016Updated 10 years ago
- Python solver for mixed-effects models☆97Jun 3, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆239Oct 13, 2018Updated 7 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,829Feb 23, 2024Updated 2 years ago
- A high performance implementation of HDBSCAN clustering.☆3,132Jun 12, 2026Updated last month
- Bayesian Optimization using xgboost and sklearn API☆226Mar 10, 2016Updated 10 years ago
- A set of tools for creating and testing machine learning features, with a scikit-learn compatible API☆389Dec 26, 2017Updated 8 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