Every time I train the model using the rasa train command, I get the model with slightly different behavior. Was wondering if there is any way to set a random seed during training so that every time we train on the same nlu files, we get the exact same model.
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Looks like we can set an argument under DIETClassifier in config.yml - random_seed
Hi, yes you can set random seeds for some parts of the pipeline. See this thread here for an example config: Trained model is very inconsistent You can also set it for TEDPolicy if you are using that in your config.
that’s nice, will try this out. thanks
Yup 
You can also set the seed for ResponseSelector and TEDPolicy like you can see here.
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