SubsetRandomSampling#

class pybrops.opt.algo.pymoo_addon.SubsetRandomSampling(setspace, replace=False)[source]#

Bases: Sampling

Class implementing subset sampling for chromosome construction.

Constructor for subset random sampling.

Parameters:

setspace (numpy.ndarray) – Set space from which to sample elements.
replace (numpy.ndarray) – Whether to replace elements when subset sampling.

Methods

`do`	Sample new points with problem information if necessary.

Attributes

`replace`	Whether to replace elements when subset sampling.
`setspace`	Set space from which to sample elements.

__call__(problem, elem, *args, to_numpy=False, **kwargs)#: Call self as a function.

do(problem, n_samples, **kwargs)#

Sample new points with problem information if necessary.

Parameters:

problem (Problem) – The problem to which points should be sampled. (lower and upper bounds, discrete, binary, …)
n_samples (int) – Number of samples

Returns:

pop – The output population after sampling

Return type:

Population

property replace: bool#: Whether to replace elements when subset sampling.