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What is the primary function of the copulaFit action in SAS Viya?

The copulaFit action estimates the parameters for a specified copula type, providing a way to model the dependence structure between multiple variables.

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On: copulaFit

Which parameter is used to define the input table for the analysis?

The 'table' parameter is required to specify the input data table for the action.

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On: mca

code

requests that the action produce SAS score code. Specify additional parameters. For more information about specifying the code parameter, see the common codegen parameter. casOut: specifies the settings for an output table. For more information about specifying the casOut parameter, see the common casouttable parameter. comment: when set to True, adds comments to the DATA step code. Default: FALSE fmtWdth: specifies the width to use for formatting derived numbers such as parameter estimates in the DATA step code. Alias: fmtWidth Default: 20 Range: 0–32 indentSize: specifies the number of spaces to indent the DATA step code for each level. Default: 3 Range: 0–10 labelId: specifies the label ID to use in array names and statement labels in the DATA step code. By default, a random positive integer is used. lineSize: specifies the line size for the generated code. Default: 120 Range: 64–254 noTrim: when set to True, bases the comparison of variables with formatted values on the full format width with padding. By default, leading and trailing blanks are removed from the formatted values. Default: FALSE tabForm: when set to True, generates the code in a way that is appropriate for storing in a table. Alias: tableForm Default: FALSE

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On: forestTrain

edges6

specifies the output table containing edge information for nBody allGraphs. For more information about specifying the edges6 parameter, see the common casouttable parameter.

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On: hypergroup

What is the gbtreeTrain Action?

Trains a gradient boosting tree. This action requires a SAS Visual Data Mining and Machine Learning license.

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On: gbtreeTrain