Exemplos de gp_plot_prediction em Python

Exemplo n.º 1

Arquivo: figure_learning.py Projeto: JohnReid/infpy

def plot_gp(gp, fig_title, filename):
  figure()
  plot([x[0] for x in X], Y, 'ks')
  mean, sigma, LL = gp.predict(support)
  gp_plot_prediction(support, mean, sigma)
  xlabel('x')
  ylabel('f(x)')
  title(fig_title)
  savefig('%s.png' % filename)
  savefig('%s.eps' % filename)

Exemplo n.º 2

Arquivo: figure_noise.py Projeto: JohnReid/infpy

def plot_for_kernel(kernel, fig_title, filename):
  figure()
  plot([x[0] for x in X], Y, 'ks')
  gp = GaussianProcess(X, Y, kernel)
  mean, sigma, LL = gp.predict(support)
  gp_plot_prediction(support, mean, sigma)
  xlabel('x')
  ylabel('f(x)')
  title(fig_title)
  savefig('%s.png' % filename)
  savefig('%s.eps' % filename)