langchain_experimental.rl_chain.pick_best_chain.PickBestRandomPolicy¶
- class langchain_experimental.rl_chain.pick_best_chain.PickBestRandomPolicy(feature_embedder: Embedder, **kwargs: Any)[source]¶
Random policy for PickBest chain.
Methods
__init__(feature_embedder, **kwargs)learn(event)log(event)predict(event)save()- Parameters
feature_embedder (base.Embedder) –
kwargs (Any) –
- __init__(feature_embedder: Embedder, **kwargs: Any)[source]¶
- Parameters
feature_embedder (Embedder) –
kwargs (Any) –
- learn(event: PickBestEvent) None[source]¶
- Parameters
event (PickBestEvent) –
- Return type
None
- log(event: PickBestEvent) None[source]¶
- Parameters
event (PickBestEvent) –
- Return type
None
- predict(event: PickBestEvent) List[Tuple[int, float]][source]¶
- Parameters
event (PickBestEvent) –
- Return type
List[Tuple[int, float]]
- save() None¶
- Return type
None