mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-05-02 08:12:39 +02:00
REVERT a53690ab7f, flapack back substitued in
This commit is contained in:
parent
43c2f8af87
commit
4eebf99bfb
15 changed files with 96 additions and 101 deletions
|
|
@ -199,13 +199,13 @@ class kern(parameterised):
|
|||
[p._set_params(x[s]) for p, s in zip(self.parts, self.param_slices)]
|
||||
|
||||
def _get_param_names(self):
|
||||
# this is a bit nasty: we wat to distinguish between parts with the same cd48_name by appending a count
|
||||
# this is a bit nasty: we wat to distinguish between parts with the same name by appending a count
|
||||
part_names = np.array([k.name for k in self.parts], dtype=np.str)
|
||||
counts = [np.sum(part_names == ni) for i, ni in enumerate(part_names)]
|
||||
cum_counts = [np.sum(part_names[i:] == ni) for i, ni in enumerate(part_names)]
|
||||
names = [cd48_name + '_' + str(cum_count) if count > 1 else cd48_name for cd48_name, count, cum_count in zip(part_names, counts, cum_counts)]
|
||||
names = [name + '_' + str(cum_count) if count > 1 else name for name, count, cum_count in zip(part_names, counts, cum_counts)]
|
||||
|
||||
return sum([[cd48_name + '_' + n for n in k._get_param_names()] for cd48_name, k in zip(names, self.parts)], [])
|
||||
return sum([[name + '_' + n for n in k._get_param_names()] for name, k in zip(names, self.parts)], [])
|
||||
|
||||
def K(self, X, X2=None, which_parts='all'):
|
||||
if which_parts == 'all':
|
||||
|
|
|
|||
|
|
@ -98,11 +98,7 @@ class linear(kernpart):
|
|||
target += tmp.sum()
|
||||
|
||||
def dK_dX(self, dL_dK, X, X2, target):
|
||||
# dim = np.where(np.array(X2.shape)[:, None] == dL_dK.shape)[0].flat[0]
|
||||
# X2_ = np.expand_dims(X2, dim)
|
||||
# target += ((X2_ * self.variances) * dL_dK[:, :, None]).sum(int(not dim))
|
||||
target += (((X2[None, :, :] * self.variances)) * dL_dK[:, :, None]).sum(1)
|
||||
# target += (((X2[None, :, :] * self.variances)) * dL_dK[:, :, None]).sum(0)
|
||||
target += (((X2[:, None, :] * self.variances)) * dL_dK[:, :, None]).sum(0)
|
||||
|
||||
#---------------------------------------#
|
||||
# PSI statistics #
|
||||
|
|
@ -138,7 +134,7 @@ class linear(kernpart):
|
|||
target_mu += (dL_dpsi1.T[:, :, None] * (Z * self.variances)).sum(1)
|
||||
|
||||
def dpsi1_dZ(self, dL_dpsi1, Z, mu, S, target):
|
||||
self.dK_dX(dL_dpsi1, Z, mu, target)
|
||||
self.dK_dX(dL_dpsi1.T, Z, mu, target)
|
||||
|
||||
def psi2(self, Z, mu, S, target):
|
||||
"""
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue