AdaBoost Input - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
9.02
9.01
2.0
1.3
Published
February 2022
Language
English (United States)
Last Update
2022-02-10
dita:mapPath
rnn1580259159235.ditamap
dita:ditavalPath
ybt1582220416951.ditaval
dita:id
B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
Table Description
AttributeTable Contains attribute names and values.
ResponseTable Contains attribute names and values and response values.
CategoricalAttributeTable [Optional] Contains categorical attribute names.

Every categorical attribute in AttributeTable must appear in this table.

AttributeTable Schema

Column Data Type Description
id_column INTEGER, SMALLINT, BIGINT, NUMERIC, VARCHAR, VARBYTE(n), or BLOB Point identifier. Cannot be NULL.
attribute_name_column VARCHAR [Column appears once for each attribute_name_column.] Attribute name. Cannot be NULL.
attribute_value_column Numeric attribute:

INTEGER, BIGINT, NUMERIC, or DOUBLE PRECISION

Categorical attribute:

Any

Attribute value. If NULL, function estimates value by arithmetic means on an attribute basis. If estimate is out of range, function cannot use it to partition training data, so it is useless.
actual_label VARCHAR [Optional] Actual label of data point.

ResponseTable Schema

Column Data Type Description
id_column INTEGER, SMALLINT, BIGINT, NUMERIC, VARCHAR, VARBYTE(n), or BLOB Point identifier. Cannot be NULL.
response_column INTEGER, BIGINT, NUMERIC, VARCHAR, or DOUBLE PRECISION Response value for point. Can be NULL.

CategoricalAttributeTable Schema

Column Data Type Description
categorical_attribute_name_column VARCHAR Categorical attribute name.

Every categorical attribute in AttributeTable must appear in this table.