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[minor edits]

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mzwiessele 2015-04-17 12:17:30 +02:00
parent ce4c14dd5a
commit 18f1c2772d
4 changed files with 5 additions and 2 deletions
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2
GPy/core/gp.py
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@ -98,6 +98,8 @@ class GP(Model):
logger.info("adding kernel and likelihood as parameters") logger.info("adding kernel and likelihood as parameters")
self.link_parameter(self.kern) self.link_parameter(self.kern)
self.link_parameter(self.likelihood) self.link_parameter(self.likelihood)
self.posterior = None
def set_XY(self, X=None, Y=None, trigger_update=True): def set_XY(self, X=None, Y=None, trigger_update=True):
""" """

2
GPy/kern/__init__.py
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@ -19,3 +19,5 @@ from _src.trunclinear import TruncLinear,TruncLinear_inf
from _src.splitKern import SplitKern,DEtime from _src.splitKern import SplitKern,DEtime
from _src.splitKern import DEtime as DiffGenomeKern from _src.splitKern import DEtime as DiffGenomeKern
from _src.basis_funcs import LinearSlopeBasisFuncKernel, BasisFuncKernel, ChangePointBasisFuncKernel, DomainKernel

2
GPy/kern/_src/static.py
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@ -109,7 +109,7 @@ class Fixed(Static):
return self.variance * self.fixed_K return self.variance * self.fixed_K
def Kdiag(self, X): def Kdiag(self, X):
return self.variance * self.fixed_K.diag() return self.variance * self.fixed_K.diagonal()
def update_gradients_full(self, dL_dK, X, X2=None): def update_gradients_full(self, dL_dK, X, X2=None):
self.variance.gradient = np.einsum('ij,ij', dL_dK, self.fixed_K) self.variance.gradient = np.einsum('ij,ij', dL_dK, self.fixed_K)

1
GPy/util/linalg.py
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@ -96,7 +96,6 @@ def jitchol(A, maxtries=5):
num_tries = 1 num_tries = 1
while num_tries <= maxtries and np.isfinite(jitter): while num_tries <= maxtries and np.isfinite(jitter):
try: try:
print jitter
L = linalg.cholesky(A + np.eye(A.shape[0]) * jitter, lower=True) L = linalg.cholesky(A + np.eye(A.shape[0]) * jitter, lower=True)
return L return L
except: except: