For large data sets, Teradata recommends input in dense format, for which computing distances is faster.
TargetTable Schema
This table has the target vectors.
Column | Data Type | Description |
---|---|---|
target_id_column | Any | [Column appears once for each specified target_id_column.] All or part of target vector identifier. |
target_feature_column | Any except VARBYTE(n) | Feature name of target vector. |
target_value_column | SMALLINT, INTEGER, BIGINT, NUMERIC, or DOUBLE PRECISION | Value of target vector. |
target_column | Any except VARBYTE(n) | [Column appears only when input is in dense format, once for each specified target_column.] Target vector feature value. |
ReferenceTable Schema
This table has the reference vectors.
Column | Data Type | Description |
---|---|---|
ref_id_column | Any | [Column appears once for each specified ref_id_column.] All or part of reference vector identifier. |
ref_feature_column | Any except VARBYTE(n) | Feature name of reference vector. |
ref_value_column | SMALLINT, INTEGER, BIGINT, NUMERIC, or DOUBLE PRECISION | Value of reference vector. |
ref_column | Any except VARBYTE(n) | [Column appears only when input is in dense format, once for each specified ref_column.] Reference vector feature value. |