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fixed gradients_XX_diag

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This commit is contained in:
alessandratosi 2016-05-04 13:07:14 +01:00
parent da30663228
commit e0c7118459
1 changed files with 4 additions and 3 deletions
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7
GPy/kern/src/stationary.py
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@ -274,7 +274,7 @@ class Stationary(Kern):
#np.sum( - (tmp2*(tmpdist**2)), axis=1, out=grad[:,q])
return grad
def gradients_XX_diag(self, d2L_dK, X, cov=True):
def gradients_XX_diag(self, d2L_dK, X, cov=False):
"""
Given the derivative of the objective d2L_dK, compute the second derivative of K wrt X:
@ -285,8 +285,9 @@ class Stationary(Kern):
dL2_dXdX: [NxQ], for X [NxQ] if cov is False, [NxQxQ] if cov is True
"""
if cov:
return np.zeros(X.shape+(X.shape[1],))
return np.zeros(X.shape)#np.ones(X.shape) * self.variance/self.lengthscale**2
tmp = np.ones(X.shape+(X.shape[1],))
return tmp * d2L_dK * self.variance/self.lengthscale**2# np.zeros(X.shape+(X.shape[1],))
return np.ones(X.shape) * d2L_dK * self.variance/self.lengthscale**2 # np.zeros(X.shape)
def _gradients_X_pure(self, dL_dK, X, X2=None):
invdist = self._inv_dist(X, X2)