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How are the MCMC iterations managed in this action?

The 'nBI' parameter sets the number of burn-in iterations (default 100) which are discarded. The 'nMC' parameter sets the number of subsequent MCMC iterations that are saved for prediction (default 1000).

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On: bartGauss

topLeft

specifies the (0,0) or (0,0,0) point of the frame is at the top left rather than the bottom left. Needed sometimes so 0 degrees is vertically upwards. Default: FALSE.

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On: hypergroup

model.model.computedVars.label

Specifies the descriptive label for the variable.

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On: IdentifySpeakers

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

What is the 'table.where' subparameter?

The 'table.where' subparameter specifies an expression for subsetting the input data.

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On: groupBy