def train_online(
self,
training_trackers, # type: List[DialogueStateTracker]
input_channel=None, # type: Optional[InputChannel]
max_visual_history=3, # type: int
**kwargs # type: **Any
):
# type: (...) -> None
from rasa_core.policies.online_trainer import OnlinePolicyEnsemble
"""Train a policy ensemble in online learning mode."""
if not self.interpreter:
raise ValueError("When using online learning, you need to specify "
"an interpreter for the agent to use.")
# TODO: DEPRECATED - remove in version 0.10
if isinstance(training_trackers, string_types):
# the user most likely passed in a file name to load training
# data from
logger.warning("Passing a file name to `agent.train_online(...)` "
"is deprecated. Rather load the data with "
"`data = agent.load_data(file_name)` and pass it "
"to `agent.train_online(data)`.")
training_trackers = self.load_data(training_trackers)
logger.debug("Agent online trainer got kwargs: {}".format(kwargs))
check_domain_sanity(self.domain)
self.policy_ensemble.train(training_trackers, self.domain, **kwargs)
ensemble = OnlinePolicyEnsemble(self.policy_ensemble,
training_trackers, max_visual_history)
ensemble.run_online_training(self.domain, self.interpreter,
input_channel)
def train_online(self,
training_trackers, # type: List[DialogueStateTracker]
input_channel=None, # type: Optional[InputChannel]
max_visual_history=3, # type: int
**kwargs # type: **Any
):
# type: (...) -> None
from rasa_core.policies.online_trainer import OnlinePolicyEnsemble
"""Train a policy ensemble in online learning mode."""
if not self.interpreter:
raise ValueError(
"When using online learning, you need to specify "
"an interpreter for the agent to use.")
# TODO: DEPRECATED - remove in version 0.10
if isinstance(training_trackers, string_types):
# the user most likely passed in a file name to load training
# data from
logger.warning("Passing a file name to `agent.train_online(...)` "
"is deprecated. Rather load the data with "
"`data = agent.load_data(file_name)` and pass it "
"to `agent.train_online(data)`.")
training_trackers = self.load_data(training_trackers)
logger.debug("Agent online trainer got kwargs: {}".format(kwargs))
check_domain_sanity(self.domain)
self.policy_ensemble.train(training_trackers, self.domain, **kwargs)
ensemble = OnlinePolicyEnsemble(self.policy_ensemble,
training_trackers,
max_visual_history)
ensemble.run_online_training(self.domain, self.interpreter,
input_channel)