XGBoostPredict 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
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dita:id
B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
Table Description
InputTable Contains data set on which to apply model. Schema depends on input format (sparse or dense).

This table must have same format as XGBoost Input InputTable used to create model table.

ModelTable XGBoost Output OutputTable.

InputTable Schema for Dense Input

Column Data Type Description
id_column Any [Optional] Unique data point identifier. Cannot be NULL.
numeric_input_column Numeric [Column appears once for each specified numeric_input_column in XGBoost function call that created model table.] Numeric predictor variable for data point.
categorical_input_column VARCHAR [Column appears once for each specified categorical_input_column in XGBoost function call that created model table.] Categorical predictor variable for data point.
accumulate_column Any [Column appears once for each specified accumulate_column.] Column to copy to output table.

InputTable Schema for Sparse Input

Column Data Type Description
id_column Any Unique identifier for data point. Cannot be NULL.
response_column Any [Optional] Response variable for data point. If this value is NULL, function ignores this observation.
attribute_column VARCHAR Attribute name.
value_column Any Attribute value.
accumulate_column Any [Column appears once for each specified accumulate_column.] Column to copy to output table.