donlnz / nonconformistLinks
Python implementation of the conformal prediction framework.
☆469Updated 4 years ago
Alternatives and similar repositories for nonconformist
Users that are interested in nonconformist are comparing it to the libraries listed below
Sorting:
- Confidence intervals for scikit-learn forest algorithms☆288Updated 4 months ago
- A garden for scikit-learn compatible trees☆288Updated last year
- Python Accumulated Local Effects package☆169Updated 2 years ago
- Conformalized Quantile Regression☆284Updated 3 years ago
- Python package for conformal prediction☆515Updated 2 months ago
- Python implementation of the rulefit algorithm☆424Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆276Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,450Updated this week
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆911Updated 2 weeks ago
- Bayesian Additive Regression Trees For Python☆231Updated last year
- An extension of XGBoost to probabilistic modelling☆639Updated 2 weeks ago
- Causal Graphical Models in Python☆246Updated 2 years ago
- A density ratio estimator package for python using the KLIEP algorithm.☆108Updated 5 years ago
- Quantile Regression Forests compatible with scikit-learn.☆236Updated last week
- For calculating global feature importance using Shapley values.☆272Updated last week
- Multiple Imputation with LightGBM in Python☆386Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- A template for scikit-learn extensions☆335Updated 6 months ago
- Time should be taken seer-iously☆317Updated 2 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆175Updated 3 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- Data Efficient Decision Making☆247Updated 3 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆628Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆420Updated 2 years ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆342Updated 2 months ago
- Synthetic Minority Over-Sampling Technique for Regression☆345Updated 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 2 years ago
- A Library for Uncertainty Quantification.☆921Updated 4 months ago