donlnz / nonconformistLinks
Python implementation of the conformal prediction framework.
☆468Updated 4 years ago
Alternatives and similar repositories for nonconformist
Users that are interested in nonconformist are comparing it to the libraries listed below
Sorting:
- Python Accumulated Local Effects package☆169Updated 2 years ago
- Confidence intervals for scikit-learn forest algorithms☆289Updated 4 months ago
- A template for scikit-learn extensions☆335Updated 7 months ago
- Conformalized Quantile Regression☆284Updated 3 years ago
- A garden for scikit-learn compatible trees☆288Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,454Updated this week
- An extension of XGBoost to probabilistic modelling☆643Updated last month
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆279Updated last week
- Python implementation of the rulefit algorithm☆423Updated last year
- Bayesian Additive Regression Trees For Python☆232Updated last year
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆915Updated last month
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆41Updated 3 years ago
- For calculating global feature importance using Shapley values.☆275Updated last week
- Multiple Imputation with LightGBM in Python☆390Updated last year
- A density ratio estimator package for python using the KLIEP algorithm.☆108Updated 5 years ago
- Python package for missing-data imputation with deep learning☆155Updated last year
- Python package for conformal prediction☆517Updated 2 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆381Updated last year
- Python Meta-Feature Extractor package.☆133Updated 3 weeks ago
- Causal Graphical Models in Python☆246Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆631Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- machine learning with logical rules in Python☆644Updated last year
- Time should be taken seer-iously☆317Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆241Updated this week
- Python package for Imputation Methods☆250Updated last year
- Missing Data Imputation for Python☆245Updated last year