MoDeNa
1.0
Software framework facilitating sequential multi-scale modelling
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Performs parameter fitting of a set of samples and returns the parameters that yield the smallest error. More...
Public Member Functions | |
def | __init__ (self, args, kwargs) |
def | newPointsFWAction (self, model, kwargs) |
Public Member Functions inherited from python.Strategy.ParameterFittingStrategy | |
def | __init__ (self, args, kwargs) |
def | newPointsFWAction (self, model, kwargs) |
def | workflow (self, model) |
def | errorTest (model, parameters, testIndices) |
def | to_dict (self) |
def | from_dict (cls, m_dict) |
def | __repr__ (self) |
Performs parameter fitting of a set of samples and returns the parameters that yield the smallest error.
Definition at line 628 of file Strategy.py.