pybop.problems.meta_problem

Classes

MetaProblem

Problem class for joining mulitple problems into one combined problem.

Module Contents

class pybop.problems.meta_problem.MetaProblem(*problems, weights: list[float] | None = None)

Bases: pybop.problems.problem.Problem

Problem class for joining mulitple problems into one combined problem.

Evaluates multiple problems, which must first be defined individually.

Parameters:

problems (pybop.Problem) – The individual PyBOP fitting problems.

evaluate_batch(inputs: list[pybop.parameters.parameter.Inputs], calculate_sensitivities: bool) → numpy.ndarray | tuple[numpy.ndarray, numpy.ndarray]

Evaluate each problem for each set of inputs and return the cost values and (optionally) the sensitivities with respect to each input parameter.

Parameters:

• inputs (list[Inputs]) – A list of input parameters.

• calculate_sensitivities (bool) – Whether to also return the sensitivities (default: False).

Returns:

Cost values of len(inputs) and (optionally) the gradient of the cost with respect to each input parameter with shape (len(inputs), len(parameters)).

Return type:

Evaluation

get_problem_inputs(inputs: pybop.parameters.parameter.Inputs, i: int)

set_target(value: list[str] | str | None = None)

_has_sensitivities = True

_parameters

property has_sensitivities

problems