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=True)
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
