Profiles (bristlecone) | bristlecone

bristlecone

Profiles Module

Namespace: Bristlecone.Optimisation
Assembly: Bristlecone.dll
Parent Module: EndConditions

Nested modules

Modules	Description
SimulatedAnnealing

Functions and values

Function or value	Description
`mcmc maxIter log results iter` Full Usage: `mcmc maxIter log results iter` Parameters: maxIter : `int<MeasureProduct<iteration, MeasureOne>>` log : `LogEvent -> unit` results : `Solution list` iter : `int<MeasureProduct<iteration, MeasureOne>>` Returns: `OptimStopReason`	Ends an MCMC chain when the chain is well-behaved (i.e. acceptance rate 0.15 - 0.5, and not stuck) and it is stationary (as measured by windowed squared jump distance on recent 200-iteration windows). The chain will also be abandoned if `maxIter` iterations are reached. maxIter : `int<MeasureProduct<iteration, MeasureOne>>` log : `LogEvent -> unit` results : `Solution list` iter : `int<MeasureProduct<iteration, MeasureOne>>` Returns: `OptimStopReason`
`mcmcTuningStep maxIter log results iter` Full Usage: `mcmcTuningStep maxIter log results iter` Parameters: maxIter : `int<MeasureProduct<iteration, MeasureOne>>` log : `LogEvent -> unit` results : `Solution list` iter : `int<MeasureProduct<iteration, MeasureOne>>` Returns: `OptimStopReason`	Ends the tuning stages of an MCMC algorithm when the chain appears to be well mixed, or a maximum iteration count is reached. Mixing is defined by not being stuck, and the acceptance rate has stabilised in the range 0.15 - 0.5. maxIter : `int<MeasureProduct<iteration, MeasureOne>>` log : `LogEvent -> unit` results : `Solution list` iter : `int<MeasureProduct<iteration, MeasureOne>>` Returns: `OptimStopReason`