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parameter handling with default constraints

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This commit is contained in:
Max Zwiessele 2014-02-11 14:44:15 +00:00
parent b944427733
commit 79aca59a37
12 changed files with 53 additions and 87 deletions
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7
GPy/kern/kern.py
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@ -153,10 +153,9 @@ class kern(Parameterized):
# newkern.fixed_indices = self.fixed_indices + [self.num_params + x for x in other.fixed_indices]
# newkern.fixed_values = self.fixed_values + other.fixed_values
# newkern.tied_indices = self.tied_indices + [self.num_params + x for x in other.tied_indices]
[newkern._add_constrain(param, transform, warning=False)
for param, transform in itertools.izip(
*itertools.chain(self.constraints.iteritems(),
other.constraints.iteritems()))]
[newkern.constraints.add(transform, ind) for transform, ind in self.constraints.iteritems()]
[newkern.constraints.add(transform, ind+self.size) for transform, ind in other.constraints.iteritems()]
newkern._fixes_ = ((self._fixes_ or 0) + (other._fixes_ or 0)) or None
return newkern

3
GPy/kern/parts/white.py
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@ -4,6 +4,7 @@
from kernpart import Kernpart
import numpy as np
from ...core.parameterization import Param
from ...core.parameterization.transformations import Logexp
class White(Kernpart):
"""
@ -17,7 +18,7 @@ class White(Kernpart):
def __init__(self,input_dim,variance=1.):
super(White, self).__init__(input_dim, 'white')
self.input_dim = input_dim
self.variance = Param('variance', variance)
self.variance = Param('variance', variance, Logexp())
self.add_parameters(self.variance)
self._psi1 = 0 # TODO: more elegance here