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class ScaledErrorDistribution( ErrorDistribution )	Source

Base class that defines methods common to error distributions with a scale.

  GaussErrorDistribution
  LaplaceErrorDistribution
  CauchyErrorDistribution
  ExponentialErrorDistribution
  UniformErrorDistribution

Author Do Kester.

ScaledErrorDistribution( scale=1.0, limits=None, fixed=None, copy=None )

Default Constructor.

Parameters

• scale : float
       noise scale

• limits : None or list of 2 floats [low,high]
       None : no limits implying fixed scale
       low low limit on scale (needs to be >0)
       high high limit on scale
       when limits are set, the scale is to be fitted

• fixed : dictionary of {int:float}
       int list if parameters to fix permanently. Default None.
       float list of values for the fixed parameters.

• copy : ScaledErrorDistribution
       distribution to be copied.

copy( )

Return copy of this.

setLimits( limits )

Set limits for scale.

Parameters

• limits : [low,high]
       low : float or array_like
           low limits
       high : float or array_like
           high limits

Methods inherited from ErrorDistribution

• getGaussianScale( problem, allpars=None )
• getResiduals( problem, allpars=None )
• getChisq( problem, allpars=None )
• toSigma( scale )
• isBound( )
• acceptWeight( )
• keepFixed( fixed=None )
• setPriors( priors )
• domain2Unit( dval, ks )
• unit2Domain( uval, ks )
• logCLhood( problem, allpars )
• logLhood( problem, allpars )
• partialLogL( problem, allpars, fitIndex )
• partialLogL_alt( problem, allpars, fitIndex )
• numPartialLogL( problem, allpars, fitIndex )
• updateLogL( problem, allpars, parval=None )
• setResult( )
• hyparname( k )