embcol.optimizers.BaseOptimizer

class embcol.optimizers.BaseOptimizer(problem, callback=())

Bases: ABC

Abstract base class for an optimizer.

Parameters:

• problem (embcol.problem.Problem) – Optimization problem.

• callback (callable or sequence of callable, optional) – Function(s) called after each iteration. The signature of a function must be (params, cost, state) -> None, where params is a one-dimensional array of parameters of type numpy.ndarray, cost is a cost value of type float, and state is a dict object of str to float detailing an optimization state.