ds.rbm.loglikelihood: Likelihood estimation for an RBM model
In stefan-m-lenz/dsBoltzmannMachinesClient: Client for dsBoltzmannMachines

Estimates the log-likelihood for an RBM model using annealed importance sampling (AIS) for estimating the partition function.

ds.rbm.loglikelihood(
  datasources,
  rbm = "rbm",
  data = "D",
  parallelized = NULL,
  ntemperatures = NULL,
  nparticles = NULL,
  burnin = NULL
)

`datasources`	A list of Opal object(s) as a handle to the server-side session
`rbm`	The name of the RBM model on the server. Defaults to `"rbm"`.
`data`	The name of the variable that holds the data on the server-side. Defaults to `"D"`.
`ntemperatures`	Number of temperatures for annealing from the starting model to the target model, defaults to 100
`nparticles`	Number of parallel chains and calculated weights in AIS, defaults to 100
`burnin`	Number of steps to sample for the Gibbs transition between the intermediate models in AIS