python.Strategy.StochasticSampling Class Reference

Design of experiments class, Monte Carlo sampling. More...

Inheritance diagram for python.Strategy.StochasticSampling:

Public Member Functions
def	__init__ (self, args, kwargs)
def	newPoints (self, model)
	The function serves the following purposes: It will add samples to the current range if needed by ParFit.
Public Member Functions inherited from python.Strategy.ImproveErrorStrategy
def	__init__ (self, args, kwargs)
def	workflow (self, model, kwargs)
def	to_dict (self)
def	from_dict (cls, m_dict)
def	__repr__ (self)
Public Member Functions inherited from python.Strategy.SamplingStrategy
def	newPoints (self)
def	samplePoints (self, model, sampleRange, nPoints)

Detailed Description

Design of experiments class, Monte Carlo sampling.

Definition at line 427 of file Strategy.py.

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

• src/python/Strategy.py