These functions provide dials parameter objects for tuning
the hyperparameters of Bayesian Neural Networks.
Usage
L(range = c(1L, 5L), trans = NULL)
warmup(range = c(100L, 1000L), trans = NULL)
chains(range = c(1L, 4L), trans = NULL)
iter(range = c(500L, 2000L), trans = NULL)
nodes(range = c(1L, 64L), trans = NULL)
act_fn(values = c("tanh", "sigmoid", "softplus", "relu", "linear"))
Arguments
- range
A two-element vector holding the defaults for the smallest and largest possible values.
- trans
A trans object from the scales package, could be NULL.
- values
A character vector of possible values.
Value
A quant_param or qual_param object from the dials package.
