Extends the 'mlr3' package and ecosystem to time series forecasting. Provides forecasting tasks, learners, resampling strategies, performance measures, and 'mlr3pipelines' operators for time-series feature engineering. Machine learning regression learners can be turned into forecasters through recursive and direct multi-step strategies.
Author
Maintainer: Maximilian Mücke muecke.maximilian@gmail.com (ORCID)
Authors:
Maximilian Mücke muecke.maximilian@gmail.com (ORCID)
Marc Becker marcbecker@posteo.de (ORCID)
Bernd Bischl bernd.bischl@gmail.com (ORCID)