MetaRecommender¶
- class baybe.recommenders.meta.base.MetaRecommender[source]¶
Bases:
SerialMixin,RecommenderProtocol,ABCAbstract 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(source, /)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([sink, overwrite])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.
- classmethod from_json(source: str | Path | SupportsRead[str], /)¶
Create an object from its JSON representation.
- Parameters:
source (str | Path | SupportsRead[str]) –
The JSON source. Can be:
A string containing JSON content.
A file path or
Pathobject pointing to a JSON file.A file-like object with a
read()method.
- Raises:
ValueError – If
sourceis not one of the allowed types.- Return type:
_T
- Returns:
The reconstructed object.
- 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_dict()¶
Create an object’s dictionary representation.
- Return type:
- Returns:
The dictionary representation of the object.
- to_json(sink: str | Path | SupportsWrite[str] | None = None, /, *, overwrite: bool = False, **kwargs: Any)¶
Create an object’s JSON representation.
- Parameters:
sink (str | Path | SupportsWrite[str] | None) –
The JSON sink. Can be:
None(only returns the JSON string).A file path or
Pathobject pointing to a location where to write the JSON content.A file-like object with a
write()method.
overwrite (bool) – Boolean flag indicating if to overwrite the file if it already exists. Only relevant if
sinkis a file path orPathobject.**kwargs (Any) – Additional keyword arguments to pass to
json.dumps().
- Raises:
FileExistsError – If
sinkpoints to an already existing file butoverwriteisFalse.- Return type:
str
- Returns:
The JSON representation as a string.