donlnz / nonconformist
Python implementation of the conformal prediction framework.
☆455Updated 4 years ago
Alternatives and similar repositories for nonconformist:
Users that are interested in nonconformist are comparing it to the libraries listed below
- A garden for scikit-learn compatible trees☆286Updated 9 months ago
- Python package for conformal prediction☆483Updated 6 months ago
- Python implementation of the rulefit algorithm☆417Updated last year
- Confidence intervals for scikit-learn forest algorithms☆285Updated 8 months ago
- Conformalized Quantile Regression☆264Updated 2 years ago
- Quantile Regression Forests compatible with scikit-learn.☆227Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,350Updated this week
- [HELP REQUESTED] Generalized Additive Models in Python☆889Updated 9 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆260Updated this week
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- An extension of LightGBM to probabilistic modelling☆295Updated 9 months ago
- Time should be taken seer-iously☆314Updated 2 years ago
- Python Accumulated Local Effects package☆165Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆610Updated last year
- machine learning with logical rules in Python☆630Updated last year
- Python port of CausalImpact R library☆281Updated 11 months ago
- Fast SHAP value computation for interpreting tree-based models☆535Updated last year
- Causal Graphical Models in Python☆244Updated 2 years ago
- DeltaPy - Tabular Data Augmentation (by @firmai)☆543Updated last year
- A Python package for causal inference in quasi-experimental settings☆958Updated this week
- pymc-learn: Practical probabilistic machine learning in Python☆227Updated 4 years ago
- Multiple Imputation with LightGBM in Python☆373Updated 7 months ago
- An extension of XGBoost to probabilistic modelling☆586Updated 8 months ago
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆597Updated 7 months ago
- Bayesian Additive Regression Trees For Python☆223Updated last year
- A python library to build Model Trees with Linear Models at the leaves.☆374Updated 8 months ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- For calculating global feature importance using Shapley values.☆266Updated this week
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago
- python partial dependence plot toolbox☆851Updated 6 months ago