cvwrapr - Tools for Cross Validation
Tools for performing cross-validation (CV). The main function is a general purpose wrapper that performs k-fold CV for any tuning parameter in any supervised learning method. The package also has a function that computes the loss incurred by a set of predictions for a variety of loss functions and model families.
Last updated 4 years ago
4.60 score 4 stars 9 scripts 172 downloadsrelgam - Reluctant Generalized Additive Models
A method for fitting the entire regularization path of the reluctant generalized additive model (RGAM) for linear regression, logistic, Poisson and Cox regression models. See Tay, J. K., and Tibshirani, R., (2019) <arXiv:1912.01808> for details.
Last updated 5 years ago
3.70 score 1 stars 9 scripts 191 downloads