Rapid Deployment
Quickly generates predictions from one or more previously trained models based on information stored in industry-standard PMML (Predictive Model Markup Language) deployment code. This information can optionally be written into the current input data file or database [if the current input data is a query into an external database for In-Place Database Processing (IDP)] for subsequent analyses involving other variables in the current input data file or data warehouse. PMML is an XML-based language for encoding information (results) from data mining projects. The Rapid Deployment of Predictive Models module is particularly well suited for generating predictions for a large number of observations (cases) because it passes (reads) through the data once, storing only the data for a single observation at a time.
General
| Element Name | Description |
|---|---|
| Detail of computed results reported | Detail of computed results; if Minimal detail is requested, only the results in spreadsheet will be shown; if All results is requested, results also include name of input PMML file. To create lift and gain charts, select them from the Lift chart tab. |
| Selection of variables | Selects how the variables (predictors and dependent variable) for the analysis (computation of prediction or predicted classifications) are to be determined. If you choose From PMML file, then any existing (user-defined) variable selections will be ignored, and the program will attempt to automatically determine the variables in the data file that match those (using the same name) referenced as predictors or dependent variable in the PMML file. If you select User defined (selected) then any references to specific variables in the PMML file will be ignored, and the model specified in the PMML code will be applied to the variables selected by the user. |
| Select PMML Models for Analysis | Give PMML file names as well as their paths to be deployed with input data. File names are separated with '|' |
| Include prediction probabilities in output | The option is only available for categorical dependent variable. Marking this checkbox leads to prediction probabilities for all categories of response included in output. |
Save results
| Element Name | Description |
|---|---|
| Writing back to input data | If Writing back to input data is selected and 'Variable list to write back prediction statistics to' is not specified, a dialog with which you can specify result statistics to be written and fields to be filled will be presented and then the statistics will be written into input data. |
| Data file name to write back to | Give data file names as well as their paths to write back to in case you selected 'Writing back to input data' option. If it is blank, it will write to input data. |
| Variable list to write back prediction statistics to | Specify a string containing variable list to write back prediction statistics to. Variable names are separated by space. Data file can be specified with 'Data file name to write back to' option. |