View source: R/param_engine_sda.R
| shrinkage_correlation | R Documentation |
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))
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 |
values |
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
For the functions, they return a function with classes "param" and
either "quant_param" or "qual_param".
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