- use correlation threshold in autofeat light as parameter
2.0.0
- added `AutoFeatLight` model for simple feature selection (removing zero variance and redundant features), engineering (product and ratio of original features) and power transform to make features more normally distributed
1.1.3
- categorical columns can contain strings now
1.1.2
- don't generate addition/subtr features at the highest level, i.e., if they would just be removed anyways
1.1.1
- use LassoLarsCV instead of RidgeCV as final regression model - minor tweaks to feature selection to avoid longer formulas
1.1.0
- include categorical columns for feateng by default - add correlation filtering back into feat selection