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())
range | A two-element vector holding the defaults for the smallest and largest possible values, respectively. |
---|---|
trans | A |
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.
learn_rate()#> Learning Rate (quantitative) #> Transformer: log-10 #> Range (transformed scale): [-10, -1]