Comments (8)
Hi @Asma-droid , thanks for reporting this. We'll look into it shortly
from botfront.
@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"}".
from botfront.
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.
from botfront.
@Asma-droid when you extract your model zip file and inspect your domain, do you see missing entities?
from botfront.
@znat yes in my domain file i have entities:[] but in my sotries i have no line like "* my_intent{"entity_name": "entity_value"}".
from botfront.
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.)
from botfront.
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.
from botfront.
Hi @Asma-droid is the issue still present in the latest version or can we close?
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