Search Packages

skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

quantile-forest

Quantile Regression Forests compatible with scikit-learn.

crepes

Python package for conformal prediction

xgboostlss

An extension of XGBoost to probabilistic modelling

lightgbmlss

An extension of LightGBM to probabilistic modelling

insurance-conformal

Conformal prediction intervals for Tweedie/Poisson insurance models - distribution-free coverage guarantees

doubt

Bringing back uncertainty to machine learning.

conformal-tights

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

selfcalibratingconformal

A Python implementation of Self-Calibrating Conformal Prediction

pitci

Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/

neo-ls-svm

Neo LS-SVM

comport-ai

An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.