It is important to normalize the input variables before calling this function. For details, see Normalized Input.
TrainingData Schema
The table can have additional columns, but the function ignores them.
| Column | Data Type | Description |
|---|---|---|
| training_id_column | Any | Unique row identifier. |
| df_column | INTEGER, BIGINT, SMALLINT, or NUMERIC | Column that function uses to compute distance between a test object and the training objects. TestData must have a column with the same name and data type. |
| response_column | VARCHAR | Class label or classification of classified data object. |
TestData Schema
The table can have additional columns, but the function ignores them.
| Column | Data Type | Description |
|---|---|---|
| df_column | INTEGER, BIGINT, SMALLINT, or NUMERIC | Column that function uses to compute distance between a test object and the training objects. TrainingData must have a column with the same name and data type. |
| test_id_column | Any | Unique test data object identifier. |