Confidence intervals for scikit-learn forest algorithms
☆288Apr 13, 2026Updated 2 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☆524Sep 22, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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
- Machine Learning Time-Series Platform☆681Jan 17, 2025Updated last year
- Compiled Decision Trees for scikit-learn☆230Apr 25, 2025Updated last year
- scikit-learn compatible implementation of stability selection.☆215Jun 5, 2023Updated 3 years ago
- ☆761Jul 18, 2023Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,489May 25, 2026Updated last month
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Apr 8, 2026Updated 2 months ago
- machine learning with logical rules in Python☆662Jan 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☆1,005Apr 21, 2026Updated 2 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,628Nov 13, 2025Updated 7 months ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Apr 29, 2016Updated 10 years ago
- Python implementation of the rulefit algorithm☆446Oct 8, 2023Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,105Jun 22, 2026Updated last week
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Jan 8, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ML-Ensemble – high performance ensemble learning☆867Nov 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☆181Mar 21, 2023Updated 3 years ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,435Aug 20, 2024Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,397Feb 19, 2025Updated last year
- 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
- A high performance implementation of HDBSCAN clustering.☆3,122Jun 12, 2026Updated 3 weeks ago
- A proof-of-concept for a RAG to query the scikit-learn documentation☆29Aug 18, 2025Updated 10 months ago
- 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☆241Oct 13, 2018Updated 7 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,830Feb 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
- ☆78Jan 23, 2026Updated 5 months ago