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2d plotting

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This commit is contained in:
Max Zwiessele 2014-02-24 11:34:22 +00:00
parent c2750ae719
commit 8dbb65ab50
4 changed files with 50 additions and 49 deletions
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10
GPy/core/sparse_gp.py
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@ -77,13 +77,11 @@ class SparseGP(GP):
mu = np.dot(Kx.T, self.posterior.woodbury_vector)
if full_cov:
Kxx = self.kern.K(Xnew)
var = Kxx - mdot(Kx.T, self.posterior.woodbury_inv, Kx)
#var = Kxx - mdot(Kx.T, self.posterior.woodbury_inv, Kx)
var = Kxx - np.tensordot(np.dot(np.atleast_3d(self.posterior.woodbury_inv).T, Kx).T, Kx, [1,0]).swapaxes(1,2)
else:
Kxx = self.kern.Kdiag(Xnew)
WKx_old = np.dot(np.atleast_3d(self.posterior.woodbury_inv)[:,:,0], Kx)
WKx = np.tensordot(np.atleast_3d(self.posterior.woodbury_inv), Kx, [0,0])
import ipdb;ipdb.set_trace()
var = Kxx - np.sum(Kx * WKx, 0)
var = (Kxx - np.sum(np.dot(np.atleast_3d(self.posterior.woodbury_inv).T, Kx) * Kx[None,:,:], 1)).T
else:
Kx = self.kern.psi1(self.Z, Xnew, X_variance_new)
mu = np.dot(Kx, self.Cpsi1V)
@ -93,7 +91,7 @@ class SparseGP(GP):
Kxx = self.kern.psi0(self.Z, Xnew, X_variance_new)
psi2 = self.kern.psi2(self.Z, Xnew, X_variance_new)
var = Kxx - np.sum(np.sum(psi2 * Kmmi_LmiBLmi[None, :, :], 1), 1)
return mu, var[:,None]
return mu, var
def _getstate(self):