def create_policy(self, featurizer, priority): # use standard featurizer from EmbeddingPolicy, # since it is using FullDialogueTrackerFeaturizer p = EmbeddingPolicy(priority=priority, attn_before_rnn=True, attn_after_rnn=False) return p
def create_policy(self, featurizer, priority): p = EmbeddingPolicy(featurizer=featurizer, priority=priority, **{ "scale_loss": False, "evaluate_on_num_examples": 4 }) return p
def create_policy(self, featurizer, priority): # use standard featurizer from EmbeddingPolicy, # since it is using FullDialogueTrackerFeaturizer p = EmbeddingPolicy(priority=priority, **tf_defaults()) return p
def create_policy(self, featurizer, priority): p = EmbeddingPolicy(featurizer=featurizer, priority=priority, **tf_defaults()) return p
def create_policy(self, featurizer, priority): # use standard featurizer from EmbeddingPolicy, # since it is using MaxHistoryTrackerFeaturizer # if max_history is specified p = EmbeddingPolicy(priority=priority, max_history=self.max_history) return p
def create_policy(self, featurizer, priority): # use standard featurizer from EmbeddingPolicy, # since it is using FullDialogueTrackerFeaturizer # if max_history is not specified p = EmbeddingPolicy(priority=priority) return p
def create_policy(self, featurizer, priority): p = EmbeddingPolicy(featurizer=featurizer, priority=priority, **{"loss_type": "margin"}) return p
def create_policy(self, featurizer, priority): p = EmbeddingPolicy(featurizer=featurizer, priority=priority) return p
def create_policy(self, featurizer, priority): p = EmbeddingPolicy( featurizer=featurizer, priority=priority, **{"ranking_length": 11} ) return p