New versions of nnetsauce and aheadSeptember 9, 2024 | T. MoudikiNew versions of nnetsauce and ahead [...Read more...]
Prediction sets and prediction intervals for conformalized Auto XGBoost, Auto LightGBM, Auto CatBoost, Auto GradientBoostingSeptember 2, 2024 | T. Moudiki Prediction sets and prediction intervals for conformalized Auto XGBoost, Auto LightGBM, Auto CatBoost, Auto GradientBoosting [...Read more...]
Conformalized adaptive (online/streaming) learning using learningmachine in Python and RAugust 19, 2024 | T. Moudiki Adaptive (online/streaming) learning with uncertainty quantification and explanations using learningmachine in Python and R [...Read more...]
Auto XGBoost, Auto LighGBM, Auto CatBoost, Auto GradientBoostingAugust 5, 2024 | T. Moudiki Auto XGBoost, Auto LighGBM, Auto CatBoost, Auto GradientBoosting [...Read more...]
Copulas for uncertainty quantification in time series forecastingJuly 28, 2024 | T. Moudiki Probabilistic Forecasting with nnetsauce (using Density Estimation, Bayesian inference, Conformal prediction and Vine copulas): nnetsauce presentation at sktime meetup (2024-07-26) [...Read more...]
Forecasting uncertainty: sequential split conformal prediction + Block bootstrap (web app)July 22, 2024 | T. Moudiki Forecasting uncertainty: sequential split conformal prediction + Block bootstrap (web app) [...Read more...]
learningmachine for Python (new version)July 15, 2024 | T. Moudiki learningmachine for Python: Machine Learning with explanations and uncertainty quantification [...Read more...]
My presentation at ISF 2024 conference (slides with nnetsauce probabilistic forecasting news)July 3, 2024 | T. Moudiki My presentation at ISF 2024 conference slides with nnetsauce probabilistic forecasting news. [...Read more...]
10 uncertainty quantification methods in nnetsauce forecastingJuly 1, 2024 | T. Moudiki10 uncertainty quantification methods in nnetsauce forecasting. [...Read more...]
Forecasting with XGBoost embedded in Quasi-Randomized Neural NetworksJune 24, 2024 | T. Moudiki Forecasting with XGBoost embedded in Quasi-Randomized Neural Networks at the International Symposium on Forecasting. [...Read more...]