BayesicFitting

Model Fitting and Evidence Calculation

View project on GitHub



class OrderProblem( Problem )Source

An OrderProblem needs to optimize the order of a set of nodes. the nodes are given by the x variable; the order by the parameters p.

The result of the function for certain x and p is given by problem.result( x, p )

This class is a base class. Further specializations will define the result method.

Attributes

  • parameters : array_like
         to be optimized in TBD ways

  • npbase : int
         number of params in the base model

  • ndim : int
         number of dimensions of input. (default : 1)

  • Author : Do Kester

OrderProblem( xdata=None, weights=None, copy=None )

OrderProblem Constructor.
Parameters

  • xdata : array_like of shape [np,ndim]
         the nodes to be visited
  • weights : array_like
         weights on the arrival nodes
  • copy : BaseProblem
         to be copied

copy( )

Return a copy.

isDynamic( )

myEngines( )

myStartEngine( )

myDistribution( )

baseName( )
Methods inherited from Problem