[SOLVED]RASA story misbehaving

Abir · November 8, 2018, 9:01am

I set max_history within the policy but i found it only within memoization

RasaHQ/rasa_core/blob/master/rasa_core/policies/memoization.py#L68


@staticmethod
def _standard_featurizer(max_history=None):
    # Memoization policy always uses MaxHistoryTrackerFeaturizer
    # without state_featurizer
    return MaxHistoryTrackerFeaturizer(state_featurizer=None,
                                       max_history=max_history,
                                       use_intent_probabilities=False)


def __init__(self,
             featurizer=None,  # type: Optional[TrackerFeaturizer]
             max_history=None,  # type: Optional[int]
             lookup=None  # type: Optional[Dict]
             ):
    # type: (...) -> None


    if not featurizer:
        featurizer = self._standard_featurizer(max_history)


    super(MemoizationPolicy, self).__init__(featurizer)


    self.max_history = self.featurizer.max_history

But this one says max_history is None .

github.com

RasaHQ/rasa_core/blob/master/rasa_core/policies/keras_policy.py#L35






class KerasPolicy(Policy):
SUPPORTS_ONLINE_TRAINING = True


defaults = {
    # Neural Net and training params
    "rnn_size": 32
}


def __init__(self,
             featurizer=None,  # type: Optional[TrackerFeaturizer]
             model=None,  # type: Optional[tf.keras.models.Sequential]
             graph=None,  # type: Optional[tf.Graph]
             session=None,  # type: Optional[tf.Session]
             current_epoch=0  # type: int
             ):
    # type: (...) -> None
    super(KerasPolicy, self).__init__(featurizer)


    self.rnn_size = self.defaults['rnn_size']

it has no max_history attribute

“Try a simpler classifier like Decision tree or Sklearn SVM to adapt to unforeseen paths while still using a deterministic path for a particular process.” By saying this are you suggesting of using sklearn_policy ? as i guess i can select my own model with it

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[SOLVED]RASA story misbehaving

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