Forest_Predict Arguments - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product

Teradata Vantage

Release Number

8.00

1.0

Published

May 2019

Language

English (United States)

Last Update

2019-11-22

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B700-4003

lifecycle

Product Category

Teradata Vantage™

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.