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The `session.actionstatus` action allows you to retrieve the status of actions f...
The `glm` action fits linear regression models using the method of least squares...
The fism action applies the FP-growth algorithm to identify frequent item sets w...
Scores a table using a gradient boosting tree model.
You can include predefined entities by setting the 'enablePredefined' parameter to TRUE. By default, this parameter is set to FALSE.
Use the 'nLevelsPrint' parameter to specify the maximum number of variable levels to display. Setting it to 0 suppresses all levels.
You can save the action history to an output table by using the 'casOut' parameter. This parameter specifies the settings for saving the history to an output table. For detailed information on its subparameters, refer to the common casouttable parameter documentation.
Specifies the Z threshold.