def plot_Carls_kernel():
kernel = fk.Carls_Mauna_kernel()
X = np.linspace(0,10,1000)
sigma = gpml.plot_kernel(kernel, X)
pylab.figure()
pylab.plot(X, sigma)
pylab.title('Carl''s kernel');
def plot_our_kernel():
kernel = ( fk.SqExpKernel(-0.7, -1.3) + fk.SqExpKernel(4.8, 2.3) ) * \
( fk.SqExpKernel(3.0, 0.5) + fk.SqExpPeriodicKernel(0.4, -0.0, -0.9) )
X = np.linspace(0, 10, 1000)
sigma = gpml.plot_kernel(kernel, X)
pylab.figure()
pylab.plot(X, sigma)
pylab.title('Our kernel')
def plot_Carls_kernel():
kernel = fk.Carls_Mauna_kernel()
X = np.linspace(0, 10, 1000)
sigma = gpml.plot_kernel(kernel, X)
pylab.figure()
pylab.plot(X, sigma)
pylab.title('Carl'
's kernel')
def plot_our_kernel():
kernel = ( fk.SqExpKernel(-0.7, -1.3) + fk.SqExpKernel(4.8, 2.3) ) * \
( fk.SqExpKernel(3.0, 0.5) + fk.SqExpPeriodicKernel(0.4, -0.0, -0.9) )
X = np.linspace(0,10,1000)
sigma = gpml.plot_kernel(kernel, X)
pylab.figure()
pylab.plot(X, sigma)
pylab.title('Our kernel');