StartOrderEngine.md

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class StartOrderEngine( OrderEngine )	[source]

StartEngine generates a parameter list in random order.

It is used to initialize the set of trial samples.

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

Author Do Kester.

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

Constructor.

Parameters

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

copy( )	[source]

execute( kw, lowLhood, fitIndex=None )	[source]

Execute the engine by a random selection of the parameters.

Parameters

• kw : int
       id of waker to diffuse
• lowLhood : float
       lower limit in logLikelihood
• fitIndex : array_like
       list of parameter indices (not active) Returns
  
• int : the number of successfull moves

Methods inherited from OrderEngine

• calculateUnitRange( )

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 )