piglot.optimiser.Optimiser
- class Optimiser(name: str, objective: Objective)[source]
Bases:
ABCInterface for implementing different optimization algorithms.
Methods
- _init_optimiser(n_iter, parameters, pbar, loss, stop_criteria):
constructs the attributes for the optimiser.
- optimise(loss, n_iter, parameters, stop_criteria = StoppingCriteria()):
initiates optimiser.
- _optimise(self, func, n_dim, n_iter, bound, init_shot):
performs the optimization.
- _progress_check(self, i_iter, curr_value, curr_solution):
evaluates the optimiser progress.
Methods
Optimiser for the outside world.
- optimise(n_iter: int, parameters: ~piglot.parameter.ParameterSet, output_dir: str, stop_criteria: ~piglot.optimiser.StoppingCriteria = <piglot.optimiser.StoppingCriteria object>, verbose: bool = True) Tuple[float, ndarray][source]
Optimiser for the outside world.
Parameters
- objectiveObjective
Objective function to optimise.
- n_iterint
Maximum number of iterations.
- parametersParameterSet
Set of parameters to optimise.
- output_dirstr
Whether to write output to the output directory, by default None.
- stop_criteriaStoppingCriteria
List of stopping criteria, by default none attributed.
- verbosebool
Whether to output progress status, by default True.
Returns
- float
Best observed objective value.
- np.ndarray
Observed optimum of the objective.