def g(x):
    return 5. - x[:, 1] - .5 * x[:, 0] ** 2.

# Design of experiments
The function to predict (classification will then consist in predicting
dataset/ETHPy150Open scikit-learn/scikit-learn/examples/gaussian_process/plot_gpc_isoprobability.py/g