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unified framework for addition and product of kernels, with a tensor flag (boolean) instead of and

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Nicolas 2013-05-10 17:48:11 +01:00
parent 50b7958051
commit 652b3ce2c6
8 changed files with 132 additions and 168 deletions
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18
GPy/kern/constructors.py
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@ -20,7 +20,6 @@ from periodic_exponential import periodic_exponential as periodic_exponentialpar
from periodic_Matern32 import periodic_Matern32 as periodic_Matern32part
from periodic_Matern52 import periodic_Matern52 as periodic_Matern52part
from prod import prod as prodpart
from prod_orthogonal import prod_orthogonal as prod_orthogonalpart
from symmetric import symmetric as symmetric_part
from coregionalise import coregionalise as coregionalise_part
from rational_quadratic import rational_quadratic as rational_quadraticpart
@ -255,7 +254,7 @@ def periodic_Matern52(D,variance=1., lengthscale=None, period=2*np.pi,n_freq=10,
part = periodic_Matern52part(D,variance, lengthscale, period, n_freq, lower, upper)
return kern(D, [part])
def prod(k1,k2):
def prod(k1,k2,tensor=False):
"""
Construct a product kernel over D from two kernels over D
@ -263,19 +262,8 @@ def prod(k1,k2):
:type k1, k2: kernpart
:rtype: kernel object
"""
part = prodpart(k1,k2)
return kern(k1.D, [part])
def prod_orthogonal(k1,k2):
"""
Construct a product kernel over D1 x D2 from a kernel over D1 and another over D2.
:param k1, k2: the kernels to multiply
:type k1, k2: kernpart
:rtype: kernel object
"""
part = prod_orthogonalpart(k1,k2)
return kern(k1.D+k2.D, [part])
part = prodpart(k1,k2,tensor)
return kern(part.D, [part])
def symmetric(k):
"""