7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Aster Analytics
Release Number
September 2017
Content Type
Programming Reference
User Guide
Publication ID
English (United States)
Last Update

The Forest_Predict function has a required input table and an optional model table.

If you do not specify the optional model table, then you must specify the model with either the ModelFile or Forest argument. Teradata recommends that you specify the optional model table.

The input table for the Forest_Predict function must contain an ID column (for example, user_id or transaction_id), so that each test point can be associated with a prediction. It must also contain all columns specified by the NumericInputs argument and all columns specified by the CategoricalInputs argument. The following table shows its schema.

Forest_Predict Input Table Schema
Column Name Data Type Description
id_column Any Contains unique identifiers for test points in the test set. Cannot contain NULL values.
numeric_column NUMERIC, INTEGER, BIGINT, or DOUBLE PRECISION Contains numeric inputs. Cannot contain NULL values.
category_column INTEGER, BIGINT, or VARCHAR Contains categorical inputs. Cannot contain NULL values.
accumulate_column Any Column to copy to the output table.