The Squared Exponential kernel class.
Note that it can handle a length scale for each dimension for
Automtic Relevance Determination.
|
__init__(self,
length_scale=1.0,
sigma_f=1.0,
**kwargs)
Initialize a Squared Exponential kernel instance. |
source code
|
|
|
reset(self)
Resets the kernel dropping internal variables to the original values |
source code
|
|
|
|
|
|
|
|
|
compute_lml_gradient(self,
alphaalphaT_Kinv,
data)
Compute grandient of the kernel and return the portion of
log marginal likelihood gradient due to the kernel. |
source code
|
|
|
|
Inherited from Kernel :
compute_gradient
Inherited from object :
__delattr__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__setattr__ ,
__str__
|