Filzbach (bristlecone)

Filzbach Module

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

Type	Description
FilzbachSettings<'a>

Function or value Description

Function or value	Description
`filzbach settings` Full Usage: `filzbach settings` Parameters: settings : `FilzbachSettings<float>` Returns: `Optimiser<float>`	A Monte Carlo Markov Chain sampler based on the 'Filzbach' algorithm from Microsoft Research Cambridge. settings : `FilzbachSettings<float>` Returns: `Optimiser<float>`
`filzbach' settings theta random writeOut sampleEnd domain f` Full Usage: `filzbach' settings theta random writeOut sampleEnd domain f` Parameters: settings : `FilzbachSettings<float>` theta : `float[]` random : `Random` writeOut : `LogEvent -> unit` sampleEnd : `EndCondition<float>` domain : `Domain` f : `Objective<float>` Returns: `Solution<float> list`	settings : `FilzbachSettings<float>` theta : `float[]` random : `Random` writeOut : `LogEvent -> unit` sampleEnd : `EndCondition<float>` domain : `Domain` f : `Objective<float>` Returns: `Solution<float> list`


                
                  
                    
                      filzbach settings

Full Usage: filzbach settings

Parameters:

settings : FilzbachSettings<float>

Returns: Optimiser<float>

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


                
                  
                    
                      filzbach' settings theta random writeOut sampleEnd domain f

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

Parameters:

settings : FilzbachSettings<float>

theta : float[]

random : Random

writeOut : LogEvent -> unit

sampleEnd : EndCondition<float>

domain : Domain

f : Objective<float>

Returns: Solution<float> list