7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)

The function requires an attribute table and a response table, and has an optional categorical attribute table.

AdaBoost_Drive Attribute Table Schema
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.
AdaBoost_Drive Response Table Schema
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.
AdaBoost_Drive Categorical Attribute Table Schema
Column Name Data Type Description
categorical_attribute_name_column VARCHAR Categorical attribute name.