Assign __init__ arg to instance attribute to fix sklearn base __repr__

[ml-evs]

Summary

Closes #864.

Simply turns the desired_features arg to the __init__ of DensityFeatures and GlobalSymmetry into an instance attribute, which prevents a crash when calling __repr__ for the class (something that happens within featurization progress bars). This is because __repr__ is being inherited from the underlying sklearn class that provides introspection into the __init__ arguments of the featurizer.

This PR fixes it in the places I have run into personally, but more may be lurking around. One general fix would be to simply define a custom __repr__ for the base matminer featurizer to avoid using the sklearn one.

[ml-evs]

Calling in my debt with @janosh as a potential reviewer, though don't expect anything until next year! 🤪

[janosh]

@ml-evs Thanks for submitting a fix! I strive to deliver. 😄