StreamingSequentialMetaRecommender¶

class baybe.recommenders.meta.sequential.StreamingSequentialMetaRecommender[source]¶

Bases: MetaRecommender

A meta recommender that switches between recommenders from an iterable.

Similar to baybe.recommenders.meta.sequential.SequentialMetaRecommender but without explicit list conversion. Consequently, it supports arbitrary iterables, possibly of infinite length. The downside is that serialization is not supported.

Raises:: NoRecommendersLeftError – If more recommenders are requested than there are recommenders available.

Public methods

`__init__`(recommenders, *[, ...])	Method generated by attrs for class StreamingSequentialMetaRecommender.
`default_iterator`()	Initialize the recommender iterator.
`from_dict`(dictionary)	Create an object from its dictionary representation.
`from_json`(string)	Create an object from its JSON representation.
`recommend`(searchspace[, batch_size, ...])	See `baybe.recommenders.base.RecommenderProtocol.recommend()`.
`select_recommender`(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.

Public attributes and properties

`recommenders`	An iterable providing the recommenders to be used.
`allow_recommending_already_measured`	Deprecated! The flag has become an attribute of `baybe.recommenders.pure.base.PureRecommender`.
`allow_repeated_recommendations`	Deprecated! The flag has become an attribute of `baybe.recommenders.pure.base.PureRecommender`.

__init__(recommenders: Iterable[PureRecommender], *, allow_repeated_recommendations: bool | None = None, allow_recommending_already_measured: bool | None = None)¶

Method generated by attrs for class StreamingSequentialMetaRecommender.

For details on the parameters, see Public attributes and properties.

default_iterator()[source]¶: Initialize the recommender iterator.

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.

recommend(searchspace: SearchSpace, batch_size: int = 1, train_x: DataFrame | None = None, train_y: DataFrame | None = None)¶

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

Return type:: DataFrame

select_recommender(searchspace: SearchSpace, batch_size: int = 1, train_x: DataFrame | None = None, train_y: DataFrame | None = None)[source]¶

Select a pure recommender for the given experimentation context.

Parameters:

searchspace (SearchSpace) – See baybe.recommenders.meta.base.MetaRecommender.recommend().
batch_size (int) – See baybe.recommenders.meta.base.MetaRecommender.recommend().
train_x (Optional[DataFrame]) – See baybe.recommenders.meta.base.MetaRecommender.recommend().
train_y (Optional[DataFrame]) – See baybe.recommenders.meta.base.MetaRecommender.recommend().

Return type:

PureRecommender

Returns:

The selected recommender.

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.

allow_recommending_already_measured: bool¶: Deprecated! The flag has become an attribute of baybe.recommenders.pure.base.PureRecommender.

allow_repeated_recommendations: bool¶: Deprecated! The flag has become an attribute of baybe.recommenders.pure.base.PureRecommender.

recommenders: Iterable[PureRecommender]¶: An iterable providing the recommenders to be used.