We currently support TF and scikit-learn methods in config files, both in running classifiers and applying models.
If we remove support for these two frameworks:
The neat-schema will be less confusing and easier to apply
We can focus on a more specific set of use cases, driven by grape
We avoid issues due to upstream changes in frameworks other than grape
The downsides:
grape doesn't provide wrappers for simple methods in scikit-learn, like logistic regression (AFAIK)
We won't be able to replicate existing pipelines built around TF/scikit
We currently support TF and scikit-learn methods in config files, both in running classifiers and applying models. If we remove support for these two frameworks:
grape
grape
The downsides:
grape
doesn't provide wrappers for simple methods in scikit-learn, like logistic regression (AFAIK)