I’m using google Colab. It appears after this code:
from rasa.core.interpreter import RasaNLUInterpreter
from rasa.core.policies.policy import *
from rasa.core.agent import Agent
from rasa.core import training
agent = Agent('domain.yml', policies=[MemoizationPolicy(), MappingPolicy(), TEDPolicy()])
# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
# loading our neatly defined training dialogues
training_data = agent.load_data('stories.md')
agent.train(
training_data,
validation_split=0.2,
epochs=200,
max_history= 5
)
agent.persist('models/dialogue')