r descr_models("discrim_regularized", "klaR")
defaults <- tibble::tibble(parsnip = c("frac_identity", "frac_common_cov"), default = c("(see below)", "(see below)")) param <- discrim_regularized() %>% set_engine("klaR") %>% make_parameter_list(defaults)
This model has r nrow(param)
tuning parameter:
param$item
Some special cases for the RDA model:
frac_identity = 0
and frac_common_cov = 1
is a linear discriminant analysis (LDA) model.
frac_identity = 0
and frac_common_cov = 0
is a quadratic discriminant analysis (QDA) model.
r uses_extension("discrim_regularized", "klaR", "classification")
library(discrim) discrim_regularized(frac_identity = numeric(0), frac_common_cov = numeric(0)) %>% set_engine("klaR") %>% translate()
Friedman, J (1989). Regularized Discriminant Analysis. Journal of the American Statistical Association, 84, 165-175.
Kuhn, M, and K Johnson. 2013. Applied Predictive Modeling. Springer.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.