You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We can already convert sklearn models to onnx, even add extra metadata if we want, investigate the model intrinsics via https://netron.app/ (locally or on the browser). How is the functionality of pymilo different than ONNX?
The text was updated successfully, but these errors were encountered:
Hi there, I hope you're doing great, here is a comprehensive answer:
ONNX is an open format that is built to represent machine learning models. ONNX defines a set of the building blocks of machine learning models. So, the models exported by ONNX are not exactly the same as the original model. In fact, before exporting, the models are reconstructed (approximately) by the building blocks provided by ONNX.
Description
We can already convert sklearn models to onnx, even add extra metadata if we want, investigate the model intrinsics via https://netron.app/ (locally or on the browser). How is the functionality of pymilo different than ONNX?
The text was updated successfully, but these errors were encountered: