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
__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