Kernel

class baybe.kernels.base.Kernel[source]

Bases: ABC, SerialMixin

Abstract base class for all kernels.

Public methods

__init__()

Method generated by attrs for class Kernel.

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(*[, ard_num_dims, batch_shape, ...])

Create the gpytorch representation of the kernel.

to_json()

Create an object's JSON representation.
__init__()

Method generated by attrs for class Kernel.

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()[source]

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

Return type:

PlainKernelFactory

to_gpytorch(*, ard_num_dims: int | None = None, batch_shape: torch.Size | None = None, active_dims: tuple[int, ...] | None = None)[source]

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.