embcol.optimizers.BaseGlobalOptimizer.optimize

BaseGlobalOptimizer.optimize(max_n_iters=10000, *, resume=False)

Run an optimization.

Parameters:

• max_n_iters (int, optional) – Maximum number of iterations.

• resume (bool, optional) – If True is given, an optimization is resumed from the previous run.

Returns:

• oklabs (numpy.ndarray of float) – Oklab colors of samples. The shape is (N, 3), where N is the number of samples.

• is_converged (bool) – True if an optimization is converged.