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EvidenceProblem = class EvidenceProblem(ClassicProblem) |
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EvidenceProblem(model=None, xdata=None, ydata=None, weights=None, copy=None)
An EvidenceProblem is a ClassicProblem containing a Dynamic and/or Modifiable
model, where the (Gauss-approximated) evidence is used as likelihood
Problems can be solved by NestedSampler, with appropriate Engines and
ErrorDistributions.
The result of the function for certain x and p is given by
problem.result( x, p )
The parameters, p, are to be optimized while the x provide additional
information.
Attributes from Problem
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model, xdata, ydata, weights
Author : Do Kester
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- Method resolution order:
- EvidenceProblem
- ClassicProblem
- Problem
- builtins.object
Constructor:
- EvidenceProblem( model=None, xdata=None, ydata=None, weights=None, copy=None )
- Constructor for classic problems.
Parameters
----------
model : Model
the model to be solved
xdata : array_like or None
independent variable
ydata : array_like or None
dependent variable
weights : array_like or None
weights associated with ydata
copy : Problem
to be copied
Methods defined here:
- baseName()
- Returns a string representation of the model.
- copy()
- Copy.
The copy points to the same instance of model.
- myDistribution()
- Return the default preferred ModelDistribution: "model"
- myEngines()
- Return a default list of preferred engines
Methods inherited from ClassicProblem:
Methods inherited from Problem:
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