A useful parameter for neural network models using gradient descent

momentum(range = c(0, 1), trans = NULL)

## Arguments

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

momentum()
#> Range: [0, 1]