A numeric parameter function representing the relative amount of penalties (e.g. L1, L2, etc) in regularized models.
mixture(range = c(0, 1), trans = NULL)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.
This parameter is used for regularized or penalized models such as
parsnip::linear_reg(), parsnip::logistic_reg(), and others. It is
formulated as the proportion of L1 regularization (i.e. lasso) in the model.
In the glmnet model, mixture = 1 is a pure lasso model while mixture = 0
indicates that ridge regression is being used.