b8f10b387de929bcb250e4750064355e50b44317,examples/plot_gp_minimize_1d.py,,,#,6

Before Change

    posterior_mean = posterior_mean.ravel()
    posterior_std = posterior_std.ravel()

    plt.subplot(subplot_no)
    plt.plot(vals.ravel(), posterior_mean, label="Posterior mean")
    plt.plot(vals.ravel(), posterior_std, label="Posterior std")
    plt.plot(vals.ravel(), acquis_values, label="Acquisition values.")
    plt.legend(loc="best")

After Change

from skopt.gp_opt import acquisition

bounds = [[-2, 2]]
x = np.linspace(-2, 2, 200)
func_values = [bench3(xi) for xi in x]

vals = np.reshape(x, (-1, 1))

for n_iter in [10, 20]:

Instances