donlnz / nonconformistLinks
Python implementation of the conformal prediction framework.
☆476Updated 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☆170Updated 2 years ago
- Conformalized Quantile Regression☆301Updated 3 years ago
- Confidence intervals for scikit-learn forest algorithms☆290Updated 9 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆295Updated this week
- Bayesian Additive Regression Trees For Python☆230Updated 2 years ago
- Python implementation of the rulefit algorithm☆436Updated 2 years ago
- A template for scikit-learn extensions☆339Updated 11 months ago
- A garden for scikit-learn compatible trees☆288Updated last year
- For calculating global feature importance using Shapley values.☆283Updated last week
- Time should be taken seer-iously☆319Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,505Updated this week
- Python package for conformal prediction☆552Updated 3 months ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆943Updated 3 weeks ago
- Python package for missing-data imputation with deep learning☆156Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆251Updated this week
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆326Updated 5 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Causal Graphical Models in Python☆249Updated 2 years ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆593Updated last month
- pymc-learn: Practical probabilistic machine learning in Python☆232Updated 4 years ago
- An extension of XGBoost to probabilistic modelling☆683Updated last month
- 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
- An extension of CatBoost to probabilistic modelling☆148Updated 2 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- Python implementation of Density-Based Clustering Validation☆178Updated 2 years ago
- Functional Data Analysis Python package☆337Updated 2 months ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆177Updated 3 years ago
- Data Efficient Decision Making☆250Updated 3 years ago
- Synthetic Minority Over-Sampling Technique for Regression☆348Updated last year