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last ARD flag changes to kernels

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This commit is contained in:
Nicolas 2013-01-18 16:03:20 +00:00
parent 8571103530
commit 69743be33e
6 changed files with 81 additions and 49 deletions
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47
GPy/kern/constructors.py
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@ -32,6 +32,8 @@ def rbf(D,variance=1., lengthscale=None,ARD=False):
:type variance: float
:param lengthscale: the lengthscale of the kernel
:type lengthscale: float
:param ARD: Auto Relevance Determination (one lengthscale per dimension)
:type ARD: Boolean
"""
part = rbfpart(D,variance,lengthscale,ARD)
return kern(D, [part])
@ -74,13 +76,16 @@ def white(D,variance=1.):
def exponential(D,variance=1., lengthscale=None, ARD=False):
"""
Construct a exponential kernel.
Construct an exponential kernel
Arguments
---------
D (int), obligatory
variance (float)
lengthscales (np.ndarray)
:param D: dimensionality of the kernel, obligatory
:type D: int
:param variance: the variance of the kernel
:type variance: float
:param lengthscale: the lengthscale of the kernel
:type lengthscale: float
:param ARD: Auto Relevance Determination (one lengthscale per dimension)
:type ARD: Boolean
"""
part = exponentialpart(D,variance, lengthscale, ARD)
return kern(D, [part])
@ -89,26 +94,32 @@ def Matern32(D,variance=1., lengthscale=None, ARD=False):
"""
Construct a Matern 3/2 kernel.
Arguments
---------
D (int), obligatory
variance (float)
lengthscales (np.ndarray)
:param D: dimensionality of the kernel, obligatory
:type D: int
:param variance: the variance of the kernel
:type variance: float
:param lengthscale: the lengthscale of the kernel
:type lengthscale: float
:param ARD: Auto Relevance Determination (one lengthscale per dimension)
:type ARD: Boolean
"""
part = Matern32part(D,variance, lengthscale, ARD)
return kern(D, [part])
def Matern52(D,variance=1., lengthscales=None):
def Matern52(D,variance=1., lengthscale=None, ARD=False):
"""
Construct a Matern 5/2 kernel.
Arguments
---------
D (int), obligatory
variance (float)
lengthscales (np.ndarray)
:param D: dimensionality of the kernel, obligatory
:type D: int
:param variance: the variance of the kernel
:type variance: float
:param lengthscale: the lengthscale of the kernel
:type lengthscale: float
:param ARD: Auto Relevance Determination (one lengthscale per dimension)
:type ARD: Boolean
"""
part = Matern52part(D,variance, lengthscales)
part = Matern52part(D,variance, lengthscale, ARD)
return kern(D, [part])
def bias(D,variance=1.):