sktime - python toolbox for time series: new features 2023 – advanced pipelines, probabilistic forecasting, parallelism support, composable classifiers and distances, reproducibility features
| Zugehörige Institution(en) am KIT | Institut für Automation und angewandte Informatik (IAI) |
| Publikationstyp | Audio & Video |
| Publikationsjahr | 2023 |
| Sprache | Englisch |
| Identifikator | KITopen-ID: 1000165363 |
| HGF-Programm | 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids |
| URL | https://global2023.pydata.org/cfp/talk/AZMNGH/ |