MoDeNa  1.0
Software framework facilitating sequential multi-scale modelling
python.Strategy.NonLinFitToPointWithSmallestError Class Reference

Performs parameter fitting of a set of samples and returns the parameters that yield the smallest error. More...

+ Inheritance diagram for python.Strategy.NonLinFitToPointWithSmallestError:

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)
 

Detailed Description

Performs parameter fitting of a set of samples and returns the parameters that yield the smallest error.

Todo:
The strategy does not allow for error to be improved, but this can be changed in the future.

Definition at line 628 of file Strategy.py.


The documentation for this class was generated from the following file: