The parameter is used in boosting methods (parsnip::boost_tree()) or some types of neural network optimization methods.

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

Arguments

range

A two-element vector holding the defaults for the smallest and largest possible values, respectively.

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.

Details

The parameter is used on the log10 scale. The units for the range function are on this scale.

learn_rate() corresponds to eta in xgboost.

Examples

learn_rate()
#> Learning Rate (quantitative) #> Transformer: log-10 #> Range (transformed scale): [-10, -1]