# Kernel # from infpy.gp import SquaredExponentialKernel as SE kernel = SE([1]) # # Part of X-space we will plot samples from # support = gp_1D_X_range(-10.0, 10.01, .125) # # Plot samples from prior # figure() gp = GaussianProcess([], [], kernel) gp_plot_samples_from(gp, support, num_samples=3) xlabel('x') ylabel('f(x)') title('Samples from the prior') savefig('samples_from_prior.png') savefig('samples_from_prior.eps') # # Data # X = [[-5.], [-2.], [3.], [3.5]] Y = [2.5, 2, -.5, 0.] # # Plot samples from posterior #