Pretrained FERN model for the Individual entity type
Learn more about the Individual entity type attributes to use it in a pretrained FERN model.
Use out-of-the box pretrained FERN models to evaluate matches between pairs of entities. For more information on using these models, see topics Use a pretrained FERN model and Enable a pretrained FERN model.
This model is readily available, and preconfigured for the Individual entity type for the Business-to-Consumer (B2C) Industry, but you don't have to have a velocity pack (VP) to use it.
If you're not using the B2C VP, you must map the attributes in your data model to the ones in this VP, while enabling this pretrained FERN model. For more information, see topic Map attributes for pretrained models in Match IQ. For details on market-specific data models, see topic Reltio velocity packs.
This table identifies the structure of Required Attributes (mandatory) and Other Attributes (optional) for the Individual entity type pretrained FERN model.
| Required Attributes | Other Attributes |
|---|---|
|
FirstName MiddleName MiddleInitial LastName NameSuffix Phone / Type Phone / Number Email / Type Email / Email Address / AddressLine1 Address / AddressLine2 Address / City Address / StateProvince Address / Country Address / PostalCode / Zip4 Address / PostalCode / Zip5 |
OtherNames / Type OtherNames / OtherFirstName OtherNames / OtherMiddleName OtherNames / OtherLastName OtherNames / OtherName |
For more information on these attributes, see topic Individual entity type for B2C.