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this value is useful for the power parameter in tweedie distribution. Alias: scale. Minimum value (exclusive): 0.
The 'modelTables' parameter is used to specify the input tables that contain the model to explain when the model is composed of analytic stores and requires accompanying DS2 code specified in the 'code' parameter.
The 'weight' parameter specifies a numeric weight variable used to compute the rank order score of a distinct grouping.
The 'vote' parameter (default: MAJORITY) specifies the vote strategy for classification, influencing both the generated SAS scoring code and out-of-bag (OOB) error computations.
specifies the FCMP evaluation metric for gradient boosting tree models. Alias: fcmpEvalFunc.