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.
- recommend(batch_size: int, searchspace: SearchSpace, objective: Objective | None = None, measurements: DataFrame | None = None)[source]¶
See
baybe.recommenders.base.RecommenderProtocol.recommend()
.- Return type:
- 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:
batch_size (
int
) – Seebaybe.recommenders.meta.base.MetaRecommender.recommend()
.searchspace (
SearchSpace
) – Seebaybe.recommenders.meta.base.MetaRecommender.recommend()
.objective (
Optional
[Objective
]) – Seebaybe.recommenders.meta.base.MetaRecommender.recommend()
.measurements (
Optional
[DataFrame
]) – Seebaybe.recommenders.meta.base.MetaRecommender.recommend()
.
- Return type:
- Returns:
The selected recommender.