start: Data Access mentions tracking models without clarifying what kind

[onavsaber]

I was reading the documentation on Data Access. It starts by mentioning that

Okay, now that we've learned how to track data and models with DVC and how to version them with Git, next question is how can we use these artifacts outside of the project?

However, the previous tutorial Get Started: Data Versioning only shows how to track data and tracking models are not demonstrated.

[jorgeorpinel]

The assumption is that the model is a file (probably). So the process would be the same as with the example data.xml use throughout https://dvc.org/doc/start/data-versioning.

[onavsaber]

I see. Thanks for the clarification. I was thinking whether or not the models are handled differently from the data, for example, like MLflow.

Maybe a clarification like what you mentioned can be added.

[jorgeorpinel]

Yep, we can definitely clarify!