Arguments - Aster Analytics

Teradata Aster Analytics Foundation User Guide

Product
Aster Analytics
Release Number
6.21
Published
November 2016
Language
English (United States)
Last Update
2018-04-14
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kiu1466024880662.ditamap
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AA-notempfilter_pdf_output.ditaval
dita:id
B700-1021
lifecycle
previous
Product Category
Software
Argument Category Description
ModelFile Either ModelFile, ModelTable,or Forest is required Specifies the name of the text file or ZIP file that contains the trained model generated by the Forest_Drive function. You must have installed this model previously using the ACT \install command.

If you specify ModelTable, then the function uses it and ignores ModelFile and Forest. If you specify both ModelFile and Forest, then the function uses Forest.

Forest Either ModelFile, ModelTable,or Forest is required Specifies the name of the table that contains the decision forest generated by the Forest_Drive function.
NumericInputs Optional Specifies the names of the columns that contain the numeric predictor variables. By default, the function gets these variables from the model generated by Forest_Drive. If you specify this argument, you must specify it exactly as you specified it in the Forest_Drive call that generated the model.
CategoricalInputs Optional Specifies the names of the columns that contain the categorical predictor variables. By default, the function gets these variables from the model generated by Forest_Drive. If you specify this argument, you must specify it exactly as you specified it in the Forest_Drive call that generated the model.
IDColumn Required Specifies the column that contains a unique identifier for each test point in the test set.
Detailed Optional Specifies 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. The default value is 'false'.
Accumulate Optional Specifies the names of the input columns to copy to the output table.