Towards Declarative Systems for Data-Centric Machine Learning
Stefan Grafberger, Bojan Karlaš, Sebastian Schelter
Abstract
We argue for a declarative approach to simplify the application of data-centric ML in real-world scenarios, and present our prototypical system AutoDC, which takes a first step in this direction.
Publication
Data-Centric Machine Learning Research (DMLR) Workshop at ICML