mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-06-02 14:45:15 +02:00
moved doc back from kern.src to kern
This commit is contained in:
parent
24549e8c7d
commit
27ccdc74ee
2 changed files with 11 additions and 8 deletions
|
|
@ -1,4 +1,15 @@
|
|||
|
||||
"""
|
||||
|
||||
In terms of Gaussian Processes, a kernel is a function that specifies the degree of similarity between variables given their relative positions in parameter space. If known variables *x* and *x'* are close together then observed variables *y* and *y'* may also be similar, depending on the kernel function and its parameters.
|
||||
|
||||
:py:class:`GPy.kern.src.kern.Kern` is a generic kernel object inherited by more specific, end-user kernels used in models. It provides methods that specific kernels should generally have such as :py:class:`GPy.kern.src.kern.Kern.K` to compute the value of the kernel, :py:class:`GPy.kern.src.kern.Kern.add` to combine kernels and numerous functions providing information on kernel gradients.
|
||||
|
||||
.. inheritance-diagram:: GPy.kern.src.kern.Kern
|
||||
:top-classes: GPy.core.parameterization.parameterized.Parameterized
|
||||
|
||||
"""
|
||||
|
||||
from .src.kern import Kern
|
||||
from .src.add import Add
|
||||
from .src.prod import Prod
|
||||
|
|
|
|||
|
|
@ -1,10 +1,2 @@
|
|||
"""
|
||||
|
||||
In terms of Gaussian Processes, a kernel is a function that specifies the degree of similarity between variables given their relative positions in parameter space. If known variables *x* and *x'* are close together then observed variables *y* and *y'* may also be similar, depending on the kernel function and its parameters.
|
||||
|
||||
.. inheritance-diagram:: GPy.kern.src.kern.Kern
|
||||
:top-classes: GPy.core.parameterization.parameterized.Parameterized
|
||||
|
||||
"""
|
||||
|
||||
from . import psi_comp
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue