The SparseSVMTrainer function has one required input table, which contains the training data.
| Column Name | Data Type | Description |
|---|---|---|
| id_column | INTEGER, SMALLINT, BIGINT, NUMERIC, NUMERIC(p), NUMERIC(p,a), TEXT, VARCHAR, VARCHAR(n), UUID, or BYTEA | Contains the identifiers of the training samples. |
| attribute_column | INTEGER, SMALLINT, BIGINT, TEXT, VARCHAR, or VARCHAR(n) | Contains the attributes of the training samples. |
| value_column | INTEGER, SMALLINT, BIGINT, NUMERIC, NUMERIC(p), or NUMERIC(p,a) | Contains the attribute values. |
| label_column | INTEGER, SMALLINT, BIGINT, TEXT, VARCHAR, or VARCHAR(n) | Contains the classes of the training samples. |