few.model() and few.print_model()

[TheodoreGalanos]

Hello!

Thanks for sharing your work, this is really cool!

I was wondering if you could provide a bit of explanation as to the difference between these two outputs of the algorithm.

Also, is there any (outside) documentation on all this?

Thanks in advance!

Kind regards,
Theodore.

[lacava]

thanks for your interest!
currently, the difference is that print_model() will return a model complete with coefficients generated from the paired ML, e.g.
-2.5 * sin(x_1x2) +
-4.56 * log(x_1)

whereas model() will just return a list of engineered features. however, these should probably be merged in the future or clarified - maybe renaming model() to features() or just storing a list of features as strings at the end of fit().

[lacava]

regarding the documentation, there should be some very soon!

[TheodoreGalanos]

@lacava Thanks a lot for the clarification, it makes sense.

I'll keep testing and come back with hopefully useful comments, if any.

Kind regards,
Theodore.

[lacava]

a7dfb92 adds some outside documentation.