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