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.
Deprecated! Use
select_recommender()
orget_non_meta_recommender()
instead.Deprecated! Use
select_recommender()
orget_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
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.
- get_current_recommender()[source]¶
Deprecated! Use
select_recommender()
orget_non_meta_recommender()
instead.- Return type:
- get_next_recommender()[source]¶
Deprecated! Use
select_recommender()
orget_non_meta_recommender()
instead.- Return type:
- 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:
- 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:
- 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:
- to_json()¶
Create an object’s JSON representation.
- Return type:
- Returns:
The JSON representation as a string.