Hello friends, I am Manoj. I am very much new to python and RASA Stack. I am very passionate about learning these. I am following the rasa-demo-pydata18 documentation. When I tried to train the dialogue model with this python code. I attached my stories.md file, domain.yml file and screenshot of the error. Can someone help me in solving this issue. Thanks in Advance.
domain.yml (851 Bytes) stories.md (519 Bytes)from rasa_core.policies import FallbackPolicy, KerasPolicy, MemoizationPolicy from rasa_core.agent import Agent
# this will catch predictions the model isnât very certain about # there is a threshold for the NLU predictions as well as the action predictions fallback = FallbackPolicy(fallback_action_name=âutter_unclearâ, ** core_threshold=0.2,** ** nlu_threshold=0.6)**
agent = Agent(âdomain.ymlâ, policies=[MemoizationPolicy(), KerasPolicy(), fallback])
# loading our neatly defined training dialogues training_data = agent.load_data(âstories.mdâ)
agent.train( ** training_data,** ** validation_split=0.0,** ** epochs=400** )
agent.persist(âmodels/dialogueâ).
I am getting error. TypeError: fit() got multiple values for keyword argument âepochsâ