ds.dbm.loglikelihood: Likelihood estimation for a DBM model

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

Description

Estimates the log-likelihood of a DBM. For this, separate runs of the annealed importance sampling algorithm (AIS) are performed in addition to the esimation of the partition function of the DBM via AIS.

Usage

ds.dbm.loglikelihood(
  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	The number of temperatures for annealing from the starting model to the target model, defaults to 100
nparticles	The number of parallel chains and calculated weights in AIS, defaults to 100
burnin	The 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.