Map attributes for pretrained FERN models
Learn how to map attributes in your pretrained FERN models.
By default, entity attributes that share the same name in both models are automatically mapped. If the name of the attribute differs in both models, they do not get mapped automatically. In which case, you have to map them manually. To save and enable the pretrained FERN model, all required attributes must be mapped. Required attributes mostly refer to the basic profile details such as the name, address, phone details, and so on. The Other attributes are optional, without which profiles can still be match profiles, but including them makes the matching process more effective.
The attribute mapping feature enables you to link your data attributes to the corresponding attributes in the velocity pack's data model. This ensures your existing data is compatible with the attributes used by the FERN pre-trained model.