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| class EvidenceProblem( ClassicProblem ) | Source |
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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
model, xdata, ydata, weights
- Author : Do Kester
| EvidenceProblem( model=None, xdata=None, ydata=None, weights=None, copy=None ) |
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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
| copy( ) |
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The copy points to the same instance of model.
| myEngines( ) |
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| myDistribution( ) |
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| baseName( ) |
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Returns a string representation of the model.
| Methods inherited from ClassicProblem |
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| Methods inherited from Problem |
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