MetaRecommender

class baybe.recommenders.meta.base.MetaRecommender[source]

Bases: SerialMixin, RecommenderProtocol, ABC

Abstract base class for all meta recommenders.

Public methods

__init__()

Method generated by attrs for class MetaRecommender.

from_dict(dictionary)

Create an object from its dictionary representation.

from_json(string)

Create an object from its JSON representation.

recommend(batch_size, searchspace[, ...])

See baybe.recommenders.base.RecommenderProtocol.recommend().

select_recommender(batch_size, searchspace)

Select a pure recommender for the given experimentation context.

to_dict()

Create an object's dictionary representation.

to_json()

Create an object's JSON representation.

__init__()

Method generated by attrs for class MetaRecommender.

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.

recommend(batch_size: int, searchspace: SearchSpace, objective: Objective | None = None, measurements: DataFrame | None = None)[source]

See baybe.recommenders.base.RecommenderProtocol.recommend().

Return type:

DataFrame

abstract select_recommender(batch_size: int, searchspace: SearchSpace, objective: Objective | None = None, measurements: DataFrame | None = None)[source]

Select a pure recommender for the given experimentation context.

Parameters:
Return type:

PureRecommender

Returns:

The selected recommender.

to_dict()

Create an object’s dictionary representation.

Return type:

dict

to_json()

Create an object’s JSON representation.

Return type:

str

Returns:

The JSON representation as a string.