GD

class gob.optimizers.misc.GD.GD(bounds, n_step=1000, step_size=0.001, verbose=False)[source]

Bases: Optimizer

The gradient descent optimizer.

Parameters:

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

  • n_step (int) – The number of steps to take.

  • step_size (float) – The step size of the gradient

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

minimize(f)[source]

Minimize a function using the optimizer.

Parameters:

f (Function) – The objective function.

Returns:

The minimum point and the minimum value.

Return type:

pair