SmoothedEDBOLikelihoodFactory

class baybe.surrogates.gaussian_process.presets.edbo_smoothed.SmoothedEDBOLikelihoodFactory[source]

Bases: GPComponentFactoryProtocol[Any]

A factory providing smoothed versions of EDBO likelihoods (adapted from [SSL+21]).

Takes the low and high dimensional limits of baybe.surrogates.gaussian_process.presets.edbo.EDBOLikelihoodFactory and interpolates the prior moments linearly in between.

Public methods

__init__()

Method generated by attrs for class SmoothedEDBOLikelihoodFactory.

__call__(searchspace, objective, measurements)

Create a Gaussian process component for the given recommendation context.
__call__(searchspace: SearchSpace, objective: Objective, measurements: pd.DataFrame)[source]

Create a Gaussian process component for the given recommendation context.

Parameters:

  • searchspace (SearchSpace) – The optimization search space.

  • objective (Objective) – The optimization objective.

  • measurements (pd.DataFrame) – The available experimentation data.

Return type:

GPyTorchLikelihood

Returns:

The constructed Gaussian process component.

__init__()

Method generated by attrs for class SmoothedEDBOLikelihoodFactory.

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