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Package PyDSTool :: Package Toolbox :: Package optimizers :: Package criterion :: Module information_criteria :: Class ModifiedAICCriterion
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Class ModifiedAICCriterion

source code

object --+
         |
        ModifiedAICCriterion

The Akaike information criterion with several trials authorized

Instance Methods [hide private]
 
__init__(self, ftol, iterations_max, correct_factor=1.0, trials=5)
Initializes the criterion with a max number of iterations and an error fraction for the monotony test...		 source code
 
__call__(self, state, **kwargs)
Computes the stopping criterion		 source code

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __str__

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, ftol, iterations_max, correct_factor=1.0, trials=5)
(Constructor)

source code  

Initializes the criterion with a max number of iterations and an error fraction for the monotony test
- ftol is the relative tolerance of the AIC criterion
- trials indicates how many time the criterion will return false when in fact the criterion was true
- correct_factor is the modifiying factor for the weight of the parameters size
Overrides: object.__init__

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