mixture {dials} | R Documentation |
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)
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 |
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.
mixture()