def K(self, theta, X=None):
"""
evaluates the kernel
"""
A = SP.exp(2 * theta[0])
L = SP.exp(2 * theta[1])
if X is None:
RV = A * SP.exp(-0.5 * self._sqDist / L)
else:
RV = A * SP.exp(-0.5 * dist.sq_dist(X, X) / L)
return RV
def Xcross(self, Xcross):
assert self.n_dimensions==Xcross.shape[1], 'dimensions do not match'
self._Xcross = Xcross
self._sqDistCross = dist.sq_dist(self.X,Xcross)
def X(self, X):
assert self.n_dimensions==X.shape[1], 'dimensions do not match'
self._X = X
self._sqDist = dist.sq_dist(X,X)
def Xcross(self, Xcross):
assert self.n_dimensions == Xcross.shape[1], 'dimensions do not match'
self._Xcross = Xcross
self._sqDistCross = dist.sq_dist(self.X, Xcross)
def X(self, X):
assert self.n_dimensions == X.shape[1], 'dimensions do not match'
self._X = X
self._sqDist = dist.sq_dist(X, X)