Header menu logo bristlecone

Filzbach Module

An adaptation of the Filzbach method (originally by Drew Purves)

Types

Type Description

FilzbachSettings

ParameterTuning<'u>

Functions and values

Function or value Description

filzbach settings

Full Usage: filzbach settings

Parameters:
Returns: Optimiser

A Monte Carlo Markov Chain sampler based on the 'Filzbach' algorithm from Microsoft Research Cambridge.

settings : FilzbachSettings
Returns: Optimiser

filzbach' settings theta random writeOut sampleEnd domain f

Full Usage: filzbach' settings theta random writeOut sampleEnd domain f

Parameters:
Returns: Solution list
settings : FilzbachSettings
theta : TypedTensor<Vector, MeasureProduct<optim-space, MeasureOne>>
random : Random
writeOut : LogEvent -> unit
sampleEnd : EndCondition
domain : Domain
f : Objective
Returns: Solution list

Type something to start searching.