legend(loc="best", scatterpoints=1, prop={'size': 8}) plt.savefig('regressions_sine_demo.svg', format='svg') I, the copyright holder of this work, hereby publish...
gaussian_process import GaussianProcessRegressor from sklearn.gaussian_process.kernels import WhiteKernel, ExpSineSquared rng = np.random.RandomState(0)...
