DecisionForestPredict_MLE Syntax Elements - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.10
1.1
Published
October 2019
Language
English (United States)
Last Update
2019-12-31
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B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
NumericInputs
[Required if DecisionForest specified CategoricalEncoding ('Hashing') when it built Model table, optional otherwise.] Specify the names of the columns to treat as the numeric predictor variables.
Default behavior: The function gets these variables from the model output by DecisionForest. If you specify this syntax element, you must specify it exactly as you specified it in the DecisionForest call that created the model.
CategoricalInputs
[Required if DecisionForest specified CategoricalEncoding ('Hashing') when it built Model table, optional otherwise.] Specify the names of the columns to treat as the categorical predictor variables.
Default behavior: The function gets these variables from the model output by DecisionForest. If you specify this syntax element, 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 numeric or categorical, see Identification of Numeric and 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'
OutputProb
[Required with Responses, otherwise optional] Specify whether to output the probability for each response. If you omit Responses, the function outputs only the probability of the predicted class.
Default: 'false'
Responses
[Optional] Specify the classes for which to output probabilities.
Default behavior: Output only the probability of the predicted class.
Accumulate
[Optional] Specify the names of the input columns to copy to the output table.