Steepest Descent

does this and that…

class olympus.planners.SteepestDescent(*args, **kwargs)

Parameters

• goal –

• learning_rate –

• dx –

• random_seed –

• init_guess (array, optional) – initial guess for the optimization

• init_guess_method (str) – method to construct initial guesses if init_guess is not provided. Choose from: random

• init_guess_seed (str) – random seed for init_guess_method

Methods

tell([observations])	Provide the planner with all previous observations.
ask([return_as])	suggest new set of parameters
recommend([observations, return_as])	Consecutively executes tell and ask: tell the planner about all previous observations, and ask about the next query point.
optimize(emulator[, num_iter, verbose])	Optimizes a surface for a fixed number of iterations.