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))
For the functions, they return a function with classes "param" and
either "quant_param" or "qual_param".
A two-element vector holding the defaults for the smallest and largest possible values, respectively. If a transformation is specified, these values should be in the transformed units.
A trans object from the scales package, such as
scales::transform_log10() or scales::transform_reciprocal(). 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).
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