ottenbreit-data-science / aplrLinks
APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.
☆22Updated this week
Alternatives and similar repositories for aplr
Users that are interested in aplr are comparing it to the libraries listed below
Sorting:
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆23Updated 3 years ago
- ☆22Updated last year
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆30Updated 2 years ago
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆96Updated 5 months ago
- An extension of Py-Boost to probabilistic modelling☆24Updated 2 years ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- Generalized additive model with pairwise interactions☆67Updated last year
- A Python package for fitting Quinlan's Cubist regression model☆59Updated 2 weeks ago
- ☆41Updated 11 months ago
- Bayesian time series forecasting and decision analysis☆120Updated 2 years ago
- Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing …☆39Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆115Updated 2 months ago
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆51Updated 2 months ago
- Repo that groups utility functions for e.g. plotting of Conformal prediction metrics☆17Updated last year
- A Living Benchmark for Machine Learning on Tabular Data☆152Updated last week
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆50Updated 3 years ago
- Quantile Regression Forests compatible with scikit-learn.☆250Updated 2 weeks ago
- Conformal Locally Valid interval-Estimates for Regression☆17Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆77Updated last year
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- ☆48Updated 11 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- Tabular In-Context Learning☆99Updated 9 months ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆129Updated 2 years ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆245Updated 2 weeks ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆66Updated this week