4 ms·
The API looks fairly brittle, e.g. manually defining the loss and activation inside the pipeline instead of in the model itself. Have you or your customers used
by ipsum2 6y ago
The API looks fairly brittle, e.g. manually defining the loss and activation inside the pipeline instead of in the model itself. Have you or your customers used this in a large production environment?
- benkoller 6y agoHi, one of the co-founders here. We’ve been using the original base of ZenML for a few years in its previous shapes, mostly in predictive analytics projects. We obviously had to switch things up to make the code base suitable to a broader audience and are still working out kinks. Especially feedback like yours is super appreciated, as we can gauge opinions and evaluate them against our roadmap, so thanks :).
- p1esk 6y agoI’m curious, why would you want to define the loss in the model and not in the trainer?