BoundEvaluator

class pmrf.terms.BoundEvaluator(evaluator: AbstractEvaluator, frequency: Any, weight: float = 1.0)

Bases: AbstractTerm

Binds an evaluator to the frequency sweep it should be evaluated over.

Evaluators take frequency as input, meaning the same evaluator can be re-used over different sweeps. Binding one to a particular sweep creates a term, which can then be summed by a pmrf.SummedTerms. Several evaluators can therefore be bound to different sweeps and solved together, allowing a single set of model parameters to be fitted over multiple bands at once.

Parameters:

• evaluator (pmrf.evaluators.AbstractEvaluator) – The operator (e.g. a Loss or Likelihood) to evaluate.

• frequency (pmrf.frequency.Frequency) – The frequency range or points to evaluate the operator over.

• weight (float) – A scaling factor applied to this term’s contribution to the total.

__call__(model: Model, **kwargs) → Array

Evaluate the model.

Parameters:

• model (Model) – The model instance to evaluate.

• **kwargs (dict) – Additional keyword arguments for the evaluation process.

Returns:

The evaluated result.

Return type:

jnp.ndarray

evaluator: AbstractEvaluator

The active evaluator.

frequency: Frequency

The frequency domain this evaluator is bound to.

weight: float = 1.0

The relative weight of this term.