model
Evaluateable physics models for amplitude analysis.
The model module takes care of lambdifying mathematical expressions to
computational backends.
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class LambdifiedFunction(model: Model, backend: Union[str, tuple, dict] = 'numpy')[source]
Bases: tensorwaves.interface.Function
Implements Function based on a Model using {meth}`~.Model.lambdify`.
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__call__(dataset: Mapping[Union[int, str], ndarray]) → ndarray[source]
Evaluate the function.
- Parameters
dataset – a dict with domain variable names as keys.
- Returns
ReactionInfo of the function evaluation. Type depends on the input type.
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property parameters: Dict[str, Union[complex, float]]
Get dict of parameters.
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update_parameters(new_parameters: Mapping[str, Union[complex, float]]) → None[source]
Update the collection of parameters.
Submodules and Subpackages
