NLU Model (Re)-Training
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02-10-2022 10:12 PM
Hello All,
I hope you are doing well.
I have a question regarding (re)-training the NLU model. Currently, I am following these steps for model building/training:-
- Create a 'Data Source'.
- Upload the dataset in the required format.
- Create a transform map.
- Load all records.
- Run transform.
- Model the now is visible under 'Natural Language Understanding --> NLU Models'.
- Train the model, and publish.
Now, suppose I have to update my dataset (either new intents have been added or I have more data). How do I go about doing it without deleting everything and redoing the process? (This is what I am doing at the moment. However, it is breaking the flow and the mapping between topics and intents.)
Your inputs are much appreciated 🙂
Thanks
Shaksham
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02-10-2022 10:58 PM
Hi.. What is the content in your datasource ?
If the changes specific to intents or utterances. you can go to the specific table & upload the data. Then you can train the nlu model.
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02-10-2022 11:05 PM
I upload the file having the following columns: Model, Intent, Utterance, Language
Example:
Version 1: 10 intents - 5 utterance each (Model 1)
Version 2: 12 intents - 10 utterance each (Model 2)
I want to understand how can I update my model (Model 1) when my data is changed from Version 1 to Version 2 without deleting anything.