Is there any example on fallback actions ??

Hey @aby09 . We have an example of implementation on the docs Fallback Actions . In addition to that, you can check out Sara, the demo bot which uses fallback policy as well: GitHub - RasaHQ/rasa-demo: Sara - the Rasa Demo Bot: An example of a contextual AI assistant built with the open source Rasa Stack

okay i ll check out SARA … thank you

name: TwoStageFallbackPolicy nlu_threshold: 0.8 core_threshold: 0.3 how to set threshold value for nlu and core to get right answers ? trial and error method or any other methods?

you can mention threshold in your core or nlu training scripts like this fallback = FallbackPolicy(fallback_action_name=“action_fallback”, core_threshold=0.2, nlu_threshold=0.3) agent = Agent(‘domain_dialogue.yml’, policies=[MemoizationPolicy(), KerasPolicy(), fallback]) and pass the fallback in your agent with other policies like above

[image] NikhilBansal21: fallback = FallbackPolicy(fallback_action_name=“action_fallback”, core_threshold=0.2, nlu_threshold=0.3) if you are talking about confidence value then its like that

thats not for your chat bot… that config can be changed according your need… i added that for my own config… use some sense pls!

dude i know that … after setting up threshold value i am not getting proper answers. So i am asking is there any method to know proper threshold value

Fallback

Rasa Open Source

aby09 (abhishek puned) December 19, 2018, 6:59am 9

how you came know that 0.2 and 0.3 are best values for ur chatbot ? i want that …

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Fallback

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