Hi Team,
I have few queries regarding data science workspace
- How are the files and folders hierarchy of a model/recipe structured?
- How does a run work (either loading, training, scoring, evaluating, or writing process)? Including:
- Which class calls which classes?
- In which order are they called?
3. In what data type should the input parameters be in each class?