GDA Models Results - Report Tab

Select the Report tab of the GDA Models Results dialog box to access options to send the selected results, both tables and graphs, to the report window.

Note: the names of the options on the Report tab may be different depending if you are viewing the smaller or the larger

GDA Models Results

dialog box. The names of the options below reflect that of the smaller GDA Models Results - Report tab with the names of the larger GDA Models Results - Report tab in parentheses.

Variables and command syntax (Print variables and command syntax to Report window). Click this button to send the current data specifications, including the data file name, currently selected variables, and codes to the report window. Use the Analysis/Graph Output Manager to control the level of detail of the printout (e.g., whether to print long and short text labels, etc.). This option sends the GDA command syntax for the current analysis to the report window; the command syntax provides a detailed log of the specifications for the current analysis; you can send the command syntax to the report window even if you originally specified the design via the Quick Specs dialog box or the Analysis Wizard.

Code generator

If your program is licensed to include this feature, you can generate computer code to implement the current model for predicting new observations. Click this button to access the following options:

Statistica Visual Basic (SVB)

Generates a Statistica Visual Basic program containing the code implementing the model. This code is generated in a form compatible with the nodes of Statistica Data Miner; however, you can also simply copy/paste the relevant portion of this code to include it in your custom Visual Basic programs. The code is automatically displayed in the Statistica Visual Basic program editor window.

C/C++

Generates code compatible with the C/C++ computer language. This option is useful if you want to include the information provided by the final model into custom (C/C++) programs. (See also, Using C/C++/C# Code for Deployment.)

PMML script

Generates code in Predictive Model Markup Language (PMML), an XML-based language for storing information about fully trained (parameterized) models, and for sharing those models with other applications. Statistica and Statistica Enterprise Server contain facilities to use this information to compute predicted values or classifications, i.e., to quickly and efficiently deploy models (typically in the context of data mining projects).

Deployment to Statistica Enterprise

Deploys the results as an Analysis Configuration in Statistica Enterprise. Note that appropriately formatted data must be available in a Statistica Enterprise Data Configuration before the results can be deployed to an Analysis Configuration.