246339ce01898c92ce9e143895c5def9c46dcb78,skopt/gp_opt.py,,gp_minimize,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,26

Before Change

    // Bounds
    n_params = len(bounds)
    lb, ub = extract_bounds(bounds)

    // Default GP
    if base_estimator is None:

After Change

        models.append(gp)

        if search == "sampling":
            X = space.transform(space.rvs(n_samples=n_points,
                                          random_state=rng))
            values = _gaussian_acquisition(
                X=X, model=gp,  y_opt=np.min(yi), method=acq,
                xi=xi, kappa=kappa)
            next_x = X[np.argmin(values)]

Instances