apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-12 05:22:38 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Minor fixes to classification to allow kernel choice, change of oil example to use full test set and full training set.

Browse source
This commit is contained in:
Neil Lawrence 2013-08-19 07:37:09 +02:00
parent 2004cf3ea9
commit 0380f52702
3 changed files with 83 additions and 66 deletions
Download patch file Download diff file Expand all files Collapse all files

13
GPy/kern/parts/mlp.py
View file

@ -107,11 +107,12 @@ class MLP(Kernpart):
def dK_dX(self, dL_dK, X, X2, target):
"""Derivative of the covariance matrix with respect to X"""
self._K_computations(X, X2)
gX = np.zeros((X2.shape[0], X.shape[1], X.shape[0]))
raise NotImplementedError
# self._K_computations(X, X2)
# gX = np.zeros((X2.shape[0], X.shape[1], X.shape[0]))
for i in range(X.shape[0]):
gX[:, :, i] = self._dK_dX_point(dL_dK, X, X2, target, i)
# for i in range(X.shape[0]):
# gX[:, :, i] = self._dK_dX_point(dL_dK, X, X2, target, i)
def _dK_dX_point(self, dL_dK, X, X2, target, i):
@ -161,7 +162,3 @@ class MLP(Kernpart):
self._K_diag_numer = (X*X).sum(1)*self.weight_variance + self.bias_variance
self._K_diag_denom = self._K_diag_numer+1.
self._K_diag_dvar = four_over_tau*np.arcsin(self._K_diag_numer/self._K_diag_denom)