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Pretrained ML model for the Individual entity type (EA)

Learn more about the Individual entity type attributes to use it in a pretrained machine-learning model.

Attention: This feature is available to limited users through the Reltio Early Access (EA) program. Interested in finding out more about this feature or participating in our EA program? Get details in topic Reltio Release Process and Schedule.

Use out-of-the box pretrained machine-learning (ML) models to evaluate matches between pairs of entities. For more information on using these models, see topics Use a pretrained ML model with Match IQ and Enable a pretrained ML model using Match IQ.

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 ML 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 ML model.

Table 1. Individual entity type
Required AttributesOther Attributes

NamePrefix / Prefix

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.