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rbf psi 2
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2 changed files with 2 additions and 2 deletions
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@ -85,7 +85,7 @@ class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parentable
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def gradient(self):
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def gradient(self):
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if self._gradient_ is None:
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if self._gradient_ is None:
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self._gradient_ = numpy.zeros(self._realshape_)
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self._gradient_ = numpy.zeros(self._realshape_)
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return self._gradient_
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return self._gradient_[self._current_slice_]
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@gradient.setter
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@gradient.setter
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def gradient(self, val):
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def gradient(self, val):
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self.gradient[:] = val
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self.gradient[:] = val
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@ -177,7 +177,7 @@ class RBF(Kern):
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tmp = self._psi1[:, :, None] / self.lengthscale2 / self._psi1_denom
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tmp = self._psi1[:, :, None] / self.lengthscale2 / self._psi1_denom
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grad_mu = np.sum(dL_dpsi1[:, :, None] * tmp * self._psi1_dist, 1)
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grad_mu = np.sum(dL_dpsi1[:, :, None] * tmp * self._psi1_dist, 1)
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grad_S = np.sum(dL_dpsi1[:, :, None] * 0.5 * tmp * (self._psi1_dist_sq - 1), 1)
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grad_S = np.sum(dL_dpsi1[:, :, None] * 0.5 * tmp * (self._psi1_dist_sq - 1), 1)
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#psi2
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tmp = self._psi2[:, :, :, None] / self.lengthscale2 / self._psi2_denom
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tmp = self._psi2[:, :, :, None] / self.lengthscale2 / self._psi2_denom
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grad_mu += -2.*(dL_dpsi2[:, :, :, None] * tmp * self._psi2_mudist).sum(1).sum(1)
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grad_mu += -2.*(dL_dpsi2[:, :, :, None] * tmp * self._psi2_mudist).sum(1).sum(1)
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grad_S += (dL_dpsi2[:, :, :, None] * tmp * (2.*self._psi2_mudist_sq - 1)).sum(1).sum(1)
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grad_S += (dL_dpsi2[:, :, :, None] * tmp * (2.*self._psi2_mudist_sq - 1)).sum(1).sum(1)
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