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.
`get_current_recommender`()	Get the current recommender, if available.
`get_next_recommender`(batch_size, searchspace)	Get the recommender for the next recommendation.
`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.

get_current_recommender()[source]¶

Get the current recommender, if available.

Return type:: PureRecommender

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

Get the recommender for the next recommendation.

Returns the next recommender in row that has not yet been used for generating recommendations. In case of multiple consecutive calls, this means that the same recommender instance is returned until its recommend() method is called.

See baybe.recommenders.base.RecommenderProtocol.recommend() for details on the method arguments.

Return type:: PureRecommender

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

Select a pure recommender for the given experimentation context.

See baybe.recommenders.base.RecommenderProtocol.recommend() for details on the method arguments.

Return type:: PureRecommender

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.