The function requires an attribute table and a response table, and has an optional categorical attribute table.
| Column Name | Data Type | Description |
|---|---|---|
| id_column | INTEGER, SMALLINT, BIGINT, NUMERIC, NUMERIC(p), NUMERIC(p,a), TEXT, VARCHAR, VARCHAR(n), UUID, or BYTEA | Point identifier. Cannot be NULL. |
| attribute_name_column | VARCHAR | Attribute name. Cannot be NULL. Every categorical attribute in this table must be given a nonempty partition in the categorical attribute table. |
| attribute_value_column | Numeric attribute: INTEGER, BIGINT, NUMERIC, or DOUBLE PRECISION Categorical attribute: Any |
Attribute value. Can be NULL, in which case the function estimates its value by arithmetic means on an attribute basis. If this value is out of range, the function cannot use it to partition the training data; therefore, it is useless. |
| actual_label | VARCHAR | Actual label of data point. |
| Column Name | Data Type | Description |
|---|---|---|
| id_column | INTEGER, SMALLINT, BIGINT, NUMERIC, NUMERIC(p), NUMERIC(p,a), TEXT, VARCHAR, VARCHAR(n), UUID, or BYTEA | Point identifier. Cannot be NULL. |
| response_column | INTEGER, BIGINT, NUMERIC, VARCHAR, or DOUBLE PRECISION | Response value for the point. Can be NULL. |
| Column Name | Data Type | Description |
|---|---|---|
| categorical_attribute_name_column | VARCHAR | Categorical attribute name. |