def train(
self,
training_trackers: List[TrackerWithCachedStates],
domain: Domain,
interpreter: NaturalLanguageInterpreter,
**kwargs: Any,
) -> None:
if training_trackers:
self._emit_rule_policy_warning(training_trackers)
for policy in self.policies:
trackers_to_train = SupportedData.trackers_for_policy(
policy, training_trackers)
policy.train(trackers_to_train,
domain,
interpreter=interpreter,
**kwargs)
self.action_fingerprints = rasa.core.training.training.create_action_fingerprints(
training_trackers, domain)
else:
logger.info(
"Skipped training, because there are no training samples.")
self.date_trained = datetime.now().strftime("%Y%m%d-%H%M%S")
def train(
self,
training_trackers: List[TrackerWithCachedStates],
domain: Domain,
**kwargs: Any,
) -> Resource:
# only considers original trackers (no augmented ones)
training_trackers = [
t for t in training_trackers
if not hasattr(t, "is_augmented") or not t.is_augmented
]
training_trackers = SupportedData.trackers_for_supported_data(
self.supported_data(), training_trackers)
(
trackers_as_states,
trackers_as_actions,
) = self.featurizer.training_states_and_labels(training_trackers,
domain)
self.lookup = self._create_lookup_from_states(trackers_as_states,
trackers_as_actions)
logger.debug(f"Memorized {len(self.lookup)} unique examples.")
self.persist()
return self._resource
def test_get_training_trackers_for_policy(
policy: Policy, n_rule_trackers: int, n_ml_trackers: int
):
# create five trackers (two rule-based and three ML trackers)
trackers = [
DialogueStateTracker("id1", slots=[], is_rule_tracker=True),
DialogueStateTracker("id2", slots=[], is_rule_tracker=False),
DialogueStateTracker("id3", slots=[], is_rule_tracker=False),
DialogueStateTracker("id4", slots=[], is_rule_tracker=True),
DialogueStateTracker("id5", slots=[], is_rule_tracker=False),
]
trackers = SupportedData.trackers_for_policy(policy, trackers)
rule_trackers = [tracker for tracker in trackers if tracker.is_rule_tracker]
ml_trackers = [tracker for tracker in trackers if not tracker.is_rule_tracker]
assert len(rule_trackers) == n_rule_trackers
assert len(ml_trackers) == n_ml_trackers
