BNN.totparams: Obtain the total parameters of the BNN

In enweg/BFluxR: Implementation of Bayesian Neural Networks

Obtain the total parameters of the BNN

Description

Obtain the total parameters of the BNN

Usage

BNN.totparams(bnn)

Arguments

bnn	A BNN formed using BNN

Value

The total number of parameters in the BNN

Examples

## Not run: 
  ## Needs previous call to `BayesFluxR_setup` which is time
  ## consuming and requires Julia and BayesFlux.jl
  BayesFluxR_setup(installJulia=TRUE, seed=123)
  net <- Chain(Dense(5, 1))
  like <- likelihood.feedforward_normal(net, Gamma(2.0, 0.5))
  prior <- prior.gaussian(net, 0.5)
  init <- initialise.allsame(Normal(0, 0.5), like, prior)
  x <- matrix(rnorm(5*100), nrow = 5)
  y <- rnorm(100)
  bnn <- BNN(x, y, like, prior, init)
  BNN.totparams(bnn)

## End(Not run)

enweg/BFluxR documentation built on Jan. 27, 2024, 6:43 p.m.