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How is the response or target variable specified?

The 'response' parameter is used to specify the response (target) variable for the model.

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On: assessBias

Which parameter is required to specify the output table for the new model?

The 'modelTable' parameter is required. It specifies the in-memory table where the newly created empty model will be stored.

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On: buildModel

What is the required 'table' parameter?

The 'table' parameter specifies the table name, caslib, and other common parameters. Long form: table={name="table-name"}. Shortcut form: table="table-name". The castable value can be one or more of the following: 'caslib', 'computedOnDemand', 'computedVars', 'computedVarsProgram', 'dataSourceOptions', 'importOptions', 'name', 'singlePass', 'vars', 'where', 'whereTable'.

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On: groupBy

What is outputTables?

The outputTables parameter lists the names of results tables to save as CAS tables on the server. For more information about specifying the outputTables parameter, see the common outputTables parameter (Appendix A: Common Parameters). Alias: displayOut.

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On: irChart

How can I partition the input data into training, validation, and testing sets?

You can use the "partByFrac" parameter to randomly assign proportions of observations to roles, or the "partByVar" parameter to assign roles based on the values of a specific variable.

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On: factmac