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better kernel description

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bobturneruk 2020-04-23 09:04:17 +01:00
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GPy/kern/__init__.py
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"""
Introduction
^^^^^^^^^^^^
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.
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. *Note: this may be too simple a definition for the broad range of kernels available in :py:class:`GPy`.*
: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
There are several inherited types of kernel that provide a basis for specific end user kernels:
.. inheritance-diagram:: GPy.kern.src.kern.Kern GPy.kern.src.static GPy.kern.src.stationary GPy.kern.src.kern.CombinationKernel GPy.kern.src.brownian GPy.kern.src.linear GPy.kern.src.standard_periodic
:top-classes: GPy.core.parameterization.parameterized.Parameterized
e.g. the archetype :py:class:`GPy.kern.RBF` does not inherit directly from :py:class:`GPy.kern.src.kern.Kern`, but from :py:class:`GPy.kern.src.stationary`.
.. inheritance-diagram:: GPy.kern.src.kern.Kern GPy.kern.RBF
:top-classes: GPy.core.parameterization.parameterized.Parameterized
"""
from .src.kern import Kern
from .src.add import Add
from .src.prod import Prod