Add fast frugal trees
- Create new models to be used
- Test with real data
I'd like to help with this if it's cool with yall
I'd like to help with this if it's cool with yall
@JMAStough Awesome! Sorry we didn't notice your comment until just now. I believe these would be custom models to implement, see caret docs here: https://topepo.github.io/caret/using-your-own-model-in-train.html. Maybe @BTopcuoglu knows more about the details.
Let us know if you have any questions about the newly refactored code base.
Note: @zenalapp is working on L1 logit for #154
L1 logistic regression is now supported since we switched to glmnet (#154). We should probably document which custom hyperparameters the user needs to provide to pick L1 vs L2.
Yes I think that should be in the hyperparameter tuning vignette.