ProductKernel

class baybe.kernels.composite.ProductKernel

Bases: CompositeKernel

A kernel representing the product of a collection of base kernels.

Public methods

__init__(base_kernels)	Method generated by attrs for class ProductKernel.
from_dict(dictionary)	Create an object from its dictionary representation.
from_json(string)	Create an object from its JSON representation.
to_dict()	Create an object's dictionary representation.
to_factory()	Wrap the kernel in a baybe.surrogates.gaussian_process.kernel_factory.PlainKernelFactory.
to_gpytorch(*args, **kwargs)	Create the gpytorch representation of the kernel.
to_json()	Create an object's JSON representation.

Public attributes and properties

base_kernels

The individual kernels to be multiplied.

__init__(base_kernels)

Method generated by attrs for class ProductKernel.

For details on the parameters, see Public attributes and properties.

classmethod from_dict(dictionary: dict)

Create an object from its dictionary representation.

Parameters:

dictionary (dict) – The dictionary representation.

Return type:

TypeVar(_T)

Returns:

The reconstructed object.

classmethod from_json(string: str)

Create an object from its JSON representation.

Parameters:

string (str) – The JSON representation of the object.

Return type:

TypeVar(_T)

Returns:

The reconstructed object.

to_dict()

Create an object’s dictionary representation.

Return type:

dict

to_factory()

Wrap the kernel in a baybe.surrogates.gaussian_process.kernel_factory.PlainKernelFactory.

Return type:

PlainKernelFactory

to_gpytorch(*args, **kwargs)

Create the gpytorch representation of the kernel.

to_json()

Create an object’s JSON representation.

Return type:

str

Returns:

The JSON representation as a string.

base_kernels: tuple[Kernel, ...]

The individual kernels to be multiplied.