prior_predictive {BayesFluxR}

Sample from the prior predictive of a Bayesian Neural Network

Description

Sample from the prior predictive of a Bayesian Neural Network

Usage

prior_predictive(bnn, n = 1)

Arguments

bnn

BNN obtained using BNN

n

Number of samples

Value

matrix of prior predictive samples; Columns are the different samples

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)
  pp <- prior_predictive(bnn, n = 10)

## End(Not run)