All models that are trained iteratively should

• have a progress bar (add to missing ones)
• have early stopping implemented (with working predictions afterwards) (unit test)
• should give a warning when not converged (unit test), not fail.
• Have the option to "continue" training more, if that makes sense (if not converged, or early stopped) (unit test)

This is a mix of automatic unit testing, API updates, and bug-fixes in the methods

Example: ICA methods, @geektoni knows all the other models

@geektoni @micmn maybe you can address a few of those