NLU Model (Re)-Training

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:-

1. Create a 'Data Source'. 
2. Upload the dataset in the required format.
3. Create a transform map.
4. Load all records.
5. Run transform.
6. Model the now is visible under 'Natural Language Understanding --> NLU Models'.
7. 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