Rasa Core version: 0.12.1 Python version: 3.6.6 Operating system: Windows 10 Good afternoon, I’m new to RASA and I’m reading the documentation to learn how to use it correctly. My query is Is it possible to make RASA follow exactly the stories defined in the stories.md file? For example I have the following stories: stories.md Saludo intent_saludo utter_saludo Despedida intent_despedida utter_despedida Autenticacion intent_autenticarme_inicio utter_autenticarme_seleccion_documento intent_autenticarme_documento{“documento”: “DNI”} action_get_type_document intent_autenticarme_numero_documento{“numero_documento”: “12345678”} action_get_number_document I used only the MemoizationPolicy, but at some point the bot goes directly to the default intent configured with the FallbackPolicy: user:hola bot: Hola! ///////////////////// ## Saludo (PERFECT) user: quiero autenticarme bot: ¿Con qué tipo de documento desea auntenticarse? ///////////////////// ## Autenticacion (PERFECT) 1: DNI (DNI) 2: Pasaporte (Pasaporte) 3: Carné de Extranjería (Carné de Extranjería) user: DNI bot: Por favor, ingrese el número de su DNI user: 74563192 Usted ingresó el número 74563192 ## Autenticacion (PERFECT) hola Hola! Cómo puedo ayudarte! ## Saludo (PERFECT) adios Nos vemos :) ## Despedida (PERFECT) hola ## Saludo (FAIL, DEFAULT INTENT) ¿Podrías repetirlo por favor? hola ## Saludo (FAIL, DEFAULT INTENT) Ohhhhh ... no entendí :( hola ## Saludo (FAIL, DEFAULT INTENT) ¿Podrías repetirlo por favor? And it never gets fixed. This is my training function. def train_dialogue(domain_file = 'weather_domain.yml', model_path = './models/dialogue', training_data_file = './data/stories.md'): fallback = FallbackPolicy(fallback_action_name="action_default_fallback", core_threshold=0.05, nlu_threshold=0.3) agent = Agent(domain_file, policies = [MemoizationPolicy(), fallback]) data = agent.load_data(training_data_file) agent.train(data) agent.persist(model_path) return agent I’ll be awaiting your comments.

I do not speak Spanish, but do you want to have the conversation restart? Then add action_restart to the end of your training stories. Best, Henry

You could use only MemoizationPolicy ( Training and Policies ). However, your bot then won’t be able to handle any conversations which are not in the training examples.

Good afternoon, sir. Thank you for answer me. In fact I used that policy, but as you can see I did not get a good result. The error is that for some reason, it does not predict the next action as it is defined in the story, in this case, the corresponding intent to the greeting is answered by the fallback intent. Do you know why this behavior happens?

Can you do an interactive training with the flag --vspecified and post the output here? I guess the reasons for your fallback action is either that your story leaves the path of the training stories or some NLU issue. So the command should be something like: python -m rasa_core.train interactive -c <your policy> -u <nlu model> -s <your-stories> -d <your domain> -o <model output> -vv

[image] [Solved]Predicted Action not following the story Rasa Open Source I have two stories which shares some of the intents. The action is not being executed as per both stories. The story is getting stuck at following point story 1(with intent 1) Inform -slot{‘id’=100} -action_validate story 2 (with intent2) *Inform -slot{‘id’=100} -action_register It is executing action_validate in place of action_execute. I have set max_history in memoization policy to 10, augmentation factor to 0. But the prediction for next action is not coming correct. I checked in deb…

Can RASA CORE follow exactly the stories defined in the stories.md file?

Getting Started with Rasa

ashukrishna100 (Ashukrishna100) December 12, 2018, 6:58am 6

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Can RASA CORE follow exactly the stories defined in the stories.md file?

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