bnns_params: Parameter functions for Bayesian Neural Networks

In bnns: Bayesian Neural Network with 'Stan'

Parameter functions for Bayesian Neural Networks

Description

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.

bnns documentation built on June 8, 2026, 1:06 a.m.