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()

Deprecated! Use select_recommender() or get_non_meta_recommender() instead.

get_next_recommender()

Deprecated! Use select_recommender() or get_non_meta_recommender() instead.

get_non_meta_recommender([batch_size, ...])

Follow the meta recommender chain to the selected non-meta recommender.

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

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

select_recommender([batch_size, ...])

Select a recommender for the given experimentation context.

to_dict()

Create an object's dictionary representation.

to_json()

Create an object's JSON representation.

Public attributes and properties

is_stateful

Boolean indicating if the meta recommender is stateful.

__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]

Deprecated! Use select_recommender() or get_non_meta_recommender() instead.

Return type:

PureRecommender

get_next_recommender()[source]

Deprecated! Use select_recommender() or get_non_meta_recommender() instead.

Return type:

PureRecommender

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

Follow the meta recommender chain to the selected non-meta recommender.

Recursively calls MetaRecommender.select_recommender() until a non-meta recommender is encountered, which is then returned. Effectively, this extracts the recommender responsible for generating the recommendations for the specified context.

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

Return type:

RecommenderProtocol

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 | None = None, searchspace: SearchSpace | None = None, objective: Objective | None = None, measurements: DataFrame | None = None, pending_experiments: DataFrame | None = None)[source]

Select a recommender for the given experimentation context.

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

Return type:

RecommenderProtocol

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.

abstract property is_stateful: bool

Boolean indicating if the meta recommender is stateful.