BEAST v2.7.8 Documentation: beastlabs.core.GridSearch

Entry point for running a Beast task, for instance an MCMC or other probabilistic analysis, a simulation, etc.
optimise by grid search

Inputs:

distribution, nsamples, points, logger, state

 

distribution
type: beast.base.inference.Distribution
probability distribution to sample over (e.g. a posterior)
Required input

 

nsamples
type: java.lang.Integer
Number of samples to report at the end
Optional input. Default: 1000

 

points
type: java.lang.Integer
Number of grid points for each parameter
Optional input. Default: 100

 

logger
type: beast.base.inference.Logger***
loggers for reporting the posterior at the end of the grid search
Required input

 

state
type: beast.base.inference.State
elements of the state space
Required input