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Comments (8)

znat avatar znat commented on July 30, 2024

Hi @Asma-droid , thanks for reporting this. We'll look into it shortly

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pheel avatar pheel commented on July 30, 2024

@Asma-droid, can you elaborate on the use case you have that's affected?

As things are, an entity "entity_name" get added to the core domain if and only if you have a story that mentions it, i.e. a line like "* my_intent{"entity_name": "entity_value"}".

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Asma-droid avatar Asma-droid commented on July 30, 2024

For a given dataset and a given configuration, i have tested two rasa versions rasa 1.2.7 in CLI and botfront. The two rasa versions predict differently the next action. When comaparing the input for each version, i have seen that the domain and the featurization are not the same.

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znat avatar znat commented on July 30, 2024

@Asma-droid when you extract your model zip file and inspect your domain, do you see missing entities?

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Asma-droid avatar Asma-droid commented on July 30, 2024

@znat yes in my domain file i have entities:[] but in my sotries i have no line like "* my_intent{"entity_name": "entity_value"}".

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pheel avatar pheel commented on July 30, 2024

Having vs not having those entities in domain creates two different models indeed, but I wonder if a case can really be made that your original model performs better given your usage? (One where no action prediction depends on the presence or absence of the entities.)

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Asma-droid avatar Asma-droid commented on July 30, 2024

My problem is that i have a botfront model and i have a a rasa model with the version 1.2.7. For the two models i have almost the same file featurizer.json but models differ in predictions.

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znat avatar znat commented on July 30, 2024

Hi @Asma-droid is the issue still present in the latest version or can we close?

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