We usually teach both of these approaches are valid.
But actually the first workflow overrides the default preprocessing of the learner, which causes errors sometimes.
[ ] How can we reproduce the problem?
Try heart-disease with Logistic Regression. It fails and the error is unclear for a beginner (ValueError: Wrapped scikit-learn methods do not support multinomial variables.). Adding Continuize solves the problem, but this is not clear from the error.
Proposed solutions:
Have a nicer error that tells the user what to do / what the problem is.
Write this in the docs.
Handle the difference (make both workflows behave the same). Should we?
We usually teach both of these approaches are valid.
But actually the first workflow overrides the default preprocessing of the learner, which causes errors sometimes.
Try heart-disease with Logistic Regression. It fails and the error is unclear for a beginner (
ValueError: Wrapped scikit-learn methods do not support multinomial variables.
). Adding Continuize solves the problem, but this is not clear from the error.Proposed solutions:
Have a nicer error that tells the user what to do / what the problem is.
Write this in the docs.
Handle the difference (make both workflows behave the same). Should we?
[ ] What's your environment?
Operating system: Big Sur
Orange version: 3.29.dev
How you installed Orange: git