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gradient operations and cachong

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Max Zwiessele 2014-02-21 10:38:11 +00:00
parent 0c92fca31a
commit b19f9b9f33
8 changed files with 151 additions and 138 deletions
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4
GPy/kern/_src/kern.py
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@ -9,7 +9,7 @@ from ...core.parameterization.param import Param
class Kern(Parameterized):
def __init__(self, input_dim, name):
def __init__(self, input_dim, name, *a, **kw):
"""
The base class for a kernel: a positive definite function
which forms of a covariance function (kernel).
@ -19,7 +19,7 @@ class Kern(Parameterized):
Do not instantiate.
"""
super(Kern, self).__init__(name)
super(Kern, self).__init__(name=name, *a, **kw)
self.input_dim = input_dim
def K(self, X, X2):

2
GPy/kern/_src/linear.py
View file

@ -9,7 +9,7 @@ from ...util.linalg import tdot
from ...util.misc import fast_array_equal, param_to_array
from ...core.parameterization import Param
from ...core.parameterization.transformations import Logexp
from ...util.caching import Cacher, cache_this
from ...util.caching import cache_this
class Linear(Kern):
"""