Parameters for possible engine parameters for sda models

Source: R/param_engine_sda.R

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))

Arguments

range

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.

trans

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.

values

A vector of possible values (TRUE or FALSE).

Value

For the functions, they return a function with classes "param" and either "quant_param" or "qual_param".

Details

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