BayesOpt

class gob.optimizers.BayesOpt.BayesOpt(bounds, n_eval=100, verbose=False)

Bases: Optimizer

Interface for the BayesOpt optimizer.

Parameters:

• bounds (ndarray) – The bounds of the search space.

• n_eval (int) – The maximum number of function evaluations.

• verbose (bool) – Whether to print information about the optimization process.

minimize(f)

Minimize a function using the optimizer.

Parameters:

f (Function) – The objective function.

Returns:

The minimum point and the minimum value.

Return type:

pair

set_stop_criterion(stop_criterion)

Set a stop criterion for the optimizer.

Parameters:

stop_criterion (float) – The stop criterion.

static transform_bounds(domain)

static transform_function(function)