Specific Properties for a Model

Here is a list of specific properties for a model that identify the fundamental model data structures and some of the critical model life cycle dates. Where applicable, project-based or version-based data structures automatically populate properties for model-based data structures.

Property Name	Description
Default Scoring Task Input Table	Specifies a default SAS data set that is used as the input data table for all of scoring tasks within the SAS Model Manager project. The model's Default Scoring Task Input Table property inherits the property value from the associated version or project, if one is specified.
Default Scoring Task Output Table	Specifies a default SAS data set that defines the variables to keep in the scoring results table and the scoring task output table. The model's Default Scoring Task Output Table property inherits the property value from the associated version or project, if one is specified.
Default Performance Table	Specifies the default performance table for all model performance monitoring tasks within a SAS Model Manager project. A model's Default Performance Table property inherits the property value from the associated version or project, if one is specified. If you do not specify a performance table, some of the SAS Model Manager Model Monitoring reports might not be enabled.
Default Train Table	The train table is optional and is used only as information. However, when a value is specified for a model's Default Train Table property, it is used to validate scoring functions when a user publishes the associated project champion model to a database.
Expiration Date	Specifies a date property by which the selected model is obsolete or needs to be updated or replaced. This property is for informational purposes and is not associated with any computational action by SAS Model Manager. This property is optional.
Model Label	Specifies a text string that is used as a label for the selected model in the model assessment charts that SAS Model Manager creates. If no value is provided for the Model Label property, SAS Model Manager uses the text string that is specified for the Model Name property. The Model Label property can be useful if the Model Name property that is specified is too long for use in plots. This property is optional.
Subject	Specifies a text string that is used to provide an additional description for a model, such as a promotional or campaign code. This property is for informational purposes and is not associated with any computational action by SAS Model Manager. This property is optional.
Algorithm	Specifies the computational algorithm that is used for the selected model. This property cannot be modified.
Function	Specifies the SAS Model Manager function class that was chosen when the SAS Model Manager associated project was created. The Function property specifies the type of output that models in the predictive model project generate. For more information, see Overview of Importing Models.
Modeler	Specifies the Modeler ID or, when Modeler ID is missing, specifies the user ID of the individual who created the model that is stored in the SPK file for SAS Enterprise Miner models. Otherwise, the modeler can be specified during model import for local files into SAS Model Manager.
Tool	Specifies whether the imported model came from SAS Enterprise Miner or from other modeling tools.
Tool Version	Specifies the version number of the tool that is specified in the Tool property.
Score Code Type	Specifies whether the imported model score code is a DATA step fragment, ready-to-run SAS code, or a PMML file. Valid values are Data Step, SAS Program, and PMML. Note: SAS Model Manager cannot export or publish models whose Score Code Type model property is set to SAS Program.
Template	Specifies the SAS Model Manager model template that was used to import the model and to create pointers to its component files and metadata.
Copied From	Specifies where the original model is if this model is copied from another model in the SAS Model Manager repository.
Target Variable	Specifies the name of the target variable for a classification or prediction model. This property can be ignored for segmentation, cluster, and other models that do not use target variables. For example, if a model predicts when GENDER=M, then the target variable value is GENDER.
Target Event Value	Specifies a value for the target event that the model attempts to predict. This property is used only when a value is specified for the Target Variable property. For example, if a model predicts when GENDER=M, then the target event value is M.