These functions can be used to optimize engine-specific parameters of
sda::sda()
via parsnip::discrim_linear()
.
shrinkage_correlation(range = c(0, 1), trans = NULL)shrinkage_variance(range = c(0, 1), trans = NULL)
shrinkage_frequencies(range = c(0, 1), trans = NULL)
diagonal_covariance(values = c(TRUE, FALSE))
A two-element vector holding the defaults for the smallest and largest possible values, respectively.
A trans
object from the scales
package, such as
scales::log10_trans()
or scales::reciprocal_trans()
. If not provided,
the default is used which matches the units used in range
. If no
transformation, NULL
.
A vector of possible values (TRUE or FALSE).
For the functions, they return a function with classes "param" and either "quant_param" or "qual_param".
These functions map to sda::sda()
arguments via:
shrinkage_correlation()
to lambda
shrinkage_variance()
to lambda.var
shrinkage_frequencies()
to lambda.freqs
diagonal_covariance()
to diagonal