RSOStartup Members

Response optimization for predictive models startup dialog.

Functions Description
Cancel
Ok Return value: Integer.
Properties Description
Application Returns application object. Return value: Object. This property is read only.
CombineModels Select this option to combine the existing models to form an ensemble. Return/assignment value: Integer.
FixedIndependents Values for the fixed independent variables. Return/assignment value: String.
GetCategoricalPredictorName Returns the name of a categorical predictor variable. Return value: String. This property is read only.
GetContinuousPredictorName Returns the name of a continuous predictor variable. Return value: String. This property is read only.
GetNCategoricalDependentVariables Returns the number of categorical dependent variables. Return value: Integer. This property is read only.
GetNCategoricalPredictors Returns the number of categorical predictors. Return value: Integer. This property is read only.
GetNContinuousDependentVariables Returns the number of continuous dependent variables. Return value: Integer. This property is read only.
GetNContinuousPredictors Returns the number of continuous predictors. Return value: Integer. This property is read only.
GetNModels Returns the number of predictive models in the current analysis. Return value: Integer. This property is read only.
GridSearch Select this option to use the Grid method as the optimization algorithm. Return/assignment value: Integer.
HighestTargetValue Sets the optimization algorithm to seek a user defined target value. Return/assignment value: Integer.
LoadModels Use this option to load PMML model files. More than one model file can be loaded. Return/assignment value: String.
LowestTargetValue Sets the optimization algorithm to seek the lowest possible target value. Return/assignment value: Integer.
MaximumNumberOfIterations Maximum number of iterations the Simplex is allowed to perform. Return/assignment value: Integer.
MaximumXAxis Specifies the maximum value of the independent variable on the X-axis. Return/assignment value: Double.
MinimumXAxis Specifies the minimum value of the independent variable on the X-axis. Return/assignment value: Double.
Name Return value: String. This property is read only.
NumberOfSamplesInGraph Specify the number of points evaluated to generate the response spreadsheets and graphs. Return/assignment value: Integer.
Optimize Starts response optimization. Return value: Object. This property is read only.
Parent Returns the parent of the object. Return value: Object. This property is read only.
RandomSearch Select this option to use the Random method as the optimization algorithm. Return/assignment value: Integer.
ResponseGraph Prints a response graph. Return value: Object. This property is read only.
ResponseSpreadsheet Prints a response spreadsheet. Return value: Object. This property is read only.
ResultsCodes Assignment value: Variant.
ResultsOption Assignment value: Integer.
ResultsOutputFields Assignment value: Variant.
ResultsSaveFileName Assignment value: String.
ResultsSelection Assignment value: Variant.
ResultsSelectionOption Assignment value: Variant.
ResultsValues Assignment value: Variant.
ResultsVariables Assignment value: Variant.
SampleSize Size of the random sample. Return/assignment value: Integer.
SearchSettings Search settings of the optimization algorithm. Return/assignment value: String.
SearchSettingsSpreadsheet Displays the search settings of the optimization algorithm in spreadsheet format. Return value: Object. This property is read only.
SeedForRandomSampling Seed for the random number generator. Return/assignment value: Integer.
SimplexSearch Select this option to use the Simplex method as the optimization algorithm. Return/assignment value: Integer.
StopAt Stops the Simplex algorithm when the minimum change in model response is equal or less the specified value. Return/assignment value: Double.
UserDefinedCategory Sets the optimization algorithm to seek the specified categorical level. Return/assignment value: String.
UserDefinedTargetValue Sets the optimization type to user defined. Return/assignment value: Integer.
UserDefinedValue Sets the optimization algorithm to seek the highest possible target value. Return/assignment value: Double.
VariablesSpreadsheet Prints a spreadsheet of variables and their descriptive statistics. Return value: Object. This property is read only.
XAxisVariable Independent variable to be used as the x-axis. Return/assignment value: String.
YAxisVariable Dependent variable (or confidence level categorical level) to be used as the y-axis. Return/assignment value: String.