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class GibbsEngine( Engine )	[source]

Move a one parameter at a time by a random amount.

The walker is kept when the logLikelihood > lowLhood

Attributes

• nstep : int (2)
       number of steps in each dimension

Attributes from Engine
walkers, errdis, maxtrials, nstep, slow, rng, report, phantoms, verbose

Author Do Kester.

GibbsEngine( walkers, errdis, copy=None, **kwargs )	[source]

Constructor.

Parameters

• walkers : WalkerList
       walkers to be diffused
• errdis : ErrorDistribution
       error distribution to be used
• copy : GibbsEngine
       to be copied
• kwargs : for Engine
       "slow", "seed", "phantoms", "verbose"

copy( )	[source]

execute( kw, lowLhood, iteration=0 )	[source]

Execute the engine by diffusing the parameters.

Parameters

• kw : int
       index of walker to diffuse
• lowLhood : float
       lower limit in logLikelihood
• append : bool
       set walker in place or append
• iteration : int
       iteration number

Returns

• int : the number of successfull moves

Methods inherited from Engine

• setWalker( kw, problem, allpars, logL, walker=None, fitIndex=None )
• domain2Unit( problem, dval, kpar=None )
• unit2Domain( problem, uval, kpar=None )
• startJourney( unitStart )
• calcJourney( unitDistance )
• reportJourney( )
• makeIndex( np, val )
• reportCall( )
• reportSuccess( )
• reportReject( )
• reportFailed( )
• reportBest( )
• printReport( best=False )
• successRate( )
• getUnitMinmax( problem, lowLhood, nap )
• getUnitRange( problem, lowLhood, nap )
• printIter( iteration=0, repiter=1000 )