1.0 - 8.00 - Forest_Predict Arguments - Teradata Vantage

Teradata® Vantage Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.0
8.00
Release Date
May 2019
Content Type
Programming Reference
Publication ID
B700-4003-098K
Language
English (United States)
NumericInputs
[Optional] Specify the names of the columns that contain the numeric predictor variables.
Default behavior: The function gets these variables from the model output by DecisionForest. If you specify this argument, you must specify it exactly as you specified it in the DecisionForest call that created the model.
CategoricalInputs
[Optional] Specify the names of the columns that contain the categorical predictor variables.
Default behavior: The function gets these variables from the model output by DecisionForest. If you specify this argument, you must specify it exactly as you specified it in the DecisionForest call that created the model.
For information about columns that you must identify as categorical, see Identification of Categorical Columns.
IDColumn
Specify the column that contains a unique identifier for each test point in the test set.
Detailed
[Optional] Specify whether to output detailed information about the forest trees; that is, the decision tree and the specific tree information, including task index and tree index for each tree.
Default: 'false'
Accumulate
[Optional] Specify the names of the input columns to copy to the output table.