These parameters are auxiliary to tree-based models that use the "xgboost" engine. They correspond to tuning parameters that would be specified using set_engine("xgboost", ...).

## Usage

scale_pos_weight(range = c(0.8, 1.2), trans = NULL)

penalty_L2(range = c(-10, 1), trans = log10_trans())

penalty_L1(range = c(-10, 1), trans = log10_trans())

## 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::log10_trans() or scales::reciprocal_trans(). If not provided, the default is used which matches the units used in range. If no transformation, NULL.

## Examples


scale_pos_weight()
#> Balance of Events and Non-Events (quantitative)
#> Range: [0.8, 1.2]
penalty_L2()
#> Amount of L2 Regularization (quantitative)
#> Transformer: log-10 [1e-100, Inf]
#> Range (transformed scale): [-10, 1]
penalty_L1()
#> Amount of L1 Regularization (quantitative)
#> Transformer: log-10 [1e-100, Inf]
#> Range (transformed scale): [-10, 1]