PickBestRandomPolicy

class langchain_experimental.rl_chain.pick_best_chain.PickBestRandomPolicy(feature_embedder: Embedder, **kwargs: Any)

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)

Parameters:

• feature_embedder (Embedder) –

• kwargs (Any) –

learn(event: PickBestEvent) → None

Parameters:

event (PickBestEvent) –

Return type:

None

log(event: PickBestEvent) → None

Parameters:

event (PickBestEvent) –

Return type:

None

predict(event: PickBestEvent) → List[Tuple[int, float]]

Parameters:

event (PickBestEvent) –

Return type:

List[Tuple[int, float]]

save() → None

Return type:

None