BayesFluxR (version 0.1.3)

sadapter.Const: Use a constant stepsize in mcmc

Description

Use a constant stepsize in mcmc

Usage

sadapter.Const(l)

Value

list with `juliavar`, `juliacode` and the given arguments

Arguments

l

stepsize

Examples

if (FALSE) {
  ## 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)
  sadapter <- sadapter.Const(1e-5)
  sampler <- sampler.GGMC(sadapter = sadapter)
  ch <- mcmc(bnn, 10, 1000, sampler)
}