A Python package for fitting Quinlan's Cubist regression model
☆59Jan 31, 2026Updated 2 months ago
Alternatives and similar repositories for Cubist
Users that are interested in Cubist are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Mar 8, 2023Updated 3 years ago
- LITAP is an R package for terrain analysis and landscape and hydrology models built on terrain attributes. A major component of LITAP is …☆12Oct 2, 2024Updated last year
- Machine Learning system for Geoscience Australia uncover project☆33Mar 26, 2026Updated 2 weeks ago
- RNIR - Tutorials on NIR data processing and modelling with R☆10Sep 24, 2023Updated 2 years ago
- R Package for Imbalanced Regression☆19Apr 3, 2023Updated 3 years 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.
- Official implementation of the paper “Limeade: Let integer molecular encoding aid”☆31Apr 16, 2025Updated 11 months ago
- ☆20Feb 18, 2026Updated last month
- Description and usage tutorial for the AWS Public Dataset produced by AfSIS (arns3:::afsis)☆15Feb 16, 2021Updated 5 years ago
- an integrated open mineral spectral library from shared libraries (USGS,JHU,JPL,ASU,MISA, etc.) and measurement spectra in our own labor…☆23Apr 28, 2022Updated 3 years ago
- Extreme Learning Machine using RcppArmadillo☆15Feb 1, 2026Updated 2 months ago
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.☆33Mar 14, 2023Updated 3 years ago
- R package to compute distribution-free prediction bands using density estimators☆11Jul 26, 2021Updated 4 years ago
- H. Bengtsson, A Unifying Framework for Parallel and Distributed Processing in R using Futures, The R Journal, 10.32614/RJ-2021-048, 2021☆10Jan 24, 2026Updated 2 months ago
- ☆19Nov 7, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Experimental package (not yet existent) for multi-gather() and multi-spread()☆16Feb 9, 2019Updated 7 years ago
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Python package to visualize and cluster partial dependence.☆30Apr 9, 2022Updated 4 years ago
- Google Earth Engine Automated Annual Mapping of Irrigated Lands☆12Dec 18, 2025Updated 3 months ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆44Dec 17, 2025Updated 3 months ago
- This work introduces LaT-PFN, a novel time series model that combines PFN and JEPA frameworks to generate zero-shot forecasts efficientl…☆20Aug 1, 2024Updated last year
- Official PyTorch implementation of OTiS: An open model for general time series analysis.☆18Apr 1, 2026Updated last week
- ☆41Dec 27, 2024Updated last year
- Fast Uncertainty wrapper for any Python callable.☆12Jul 6, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Conformal Locally Valid interval-Estimates for Regression☆17Sep 27, 2024Updated last year
- ☆11Mar 7, 2023Updated 3 years ago
- Python implementation of the rulefit algorithm☆443Oct 8, 2023Updated 2 years ago
- FlexiBLAS API Interface for R☆16Mar 4, 2024Updated 2 years ago
- Tools for spatial analysis in R and Python☆11Sep 6, 2020Updated 5 years ago
- Graphical Display For Data Frame Output☆17Apr 9, 2025Updated last year
- An R package "rfinterval": Predictive Inference on Random Forests☆13Jul 19, 2019Updated 6 years ago
- Build and Analyse Sentinel-2 Time Series☆12Jan 7, 2025Updated last year
- ☆30Dec 23, 2024Updated last year
- 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.
- Graduated Nonconvexity and Adaptive Robust loss algorithm☆13Mar 14, 2024Updated 2 years ago
- A practice of Recursive Feature Elimination (RFE) using Titanic dataset☆10Sep 5, 2021Updated 4 years ago
- Elo ratings for time-series forecasting packages☆25Jan 5, 2022Updated 4 years ago
- Friday Forecasting Talks materials☆11May 24, 2024Updated last year
- A lightweight machine learning framework for Xarray☆22Nov 28, 2023Updated 2 years ago
- Convex hull in arbitrary dimension☆16Oct 24, 2023Updated 2 years ago
- Collection of academic papers, articles, software tools, and educational resources about forecast reconciliation☆38Nov 14, 2025Updated 5 months ago