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MoDeNa
1.0
Software framework facilitating sequential multi-scale modelling
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MoDeNa
1.0
Software framework facilitating sequential multi-scale modelling
|
Class for extending the design space using stochastic sampling. More...
Inheritance diagram for python.Strategy.ExtendSpaceStochasticSampling:Public Member Functions | |
| def | __init__ (self, args, kwargs) |
| def | newPoints (self, model, kwargs) |
| Public Member Functions inherited from python.Strategy.OutOfBoundsStrategy | |
| def | __init__ (self, args, kwargs) |
| Constructor. | |
| def | newPoints (self) |
| def | workflow (self, model, kwargs) |
| Method generating the workflow for the 'out of bounds strategy'. More... | |
| 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) |
Class for extending the design space using stochastic sampling.
Definition at line 412 of file Strategy.py.
1.8.13 