ds.dbm.logproblowerbound: Estimation of the variational lower bound of the log...

In stefan-m-lenz/dsBoltzmannMachinesClient: Client for dsBoltzmannMachines

Description

Estimates the variational lower bound of the likelihood of a DBM using annealed importance sampling (AIS).

Usage

ds.dbm.logproblowerbound(
  datasources,
  dbm = "dbm",
  data = "D",
  parallelized = NULL,
  ntemperatures = NULL,
  nparticles = NULL,
  burnin = NULL
)

Arguments

datasources	A list of Opal object(s) as a handle to the server-side session
dbm	The name of the DBM model on the server-side. Defaults to "dbm".
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

stefan-m-lenz/dsBoltzmannMachinesClient documentation built on May 2, 2021, 10:46 a.m.