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

Before Change

    rng = check_random_state(random_state)

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

    // Default GP
    if base_estimator is None:

After Change

                if a < best:
                    next_x, best = x, a

        next_x = space.inverse_transform(next_x.reshape((1, -1)))[0]
        print(next_x)
        next_y = func(next_x)
        Xi = np.vstack((Xi, next_x))
        yi.append(next_y)

Instances