Project Properties :: SAS(R) Model Manager 14.1: User's Guide

About Project Properties

Project properties contain the project metadata. Project metadata includes information such as the name of the project, the type of project, the project owner, the project identifier, the name and path of the repository, and of the tables and variables that are used by project processes.

Project properties are organized into the following types:

General Properties
Specific Properties
System Properties
User-Defined Properties

General Properties

General Properties are system-defined properties that you cannot modify, with the following exceptions: folder description, operation status, and lock status.

Property Name	Description
Model function	Specifies the type of output that your predictive model project generates. The Model function property that you specify affects the model templates that are provided when you are ready to import models into a project. After it has been declared, the Model function property for a project cannot be changed. Ensure that the types of models that you are going to use in the project fit within the selected model function type. For more information about the types of model functions, see Types of Model Functions.
Operation status	Specifies the current state of the project: Under Development indicates that the project has started but a champion model is not yet in production. Active indicates that a champion model for this project is in production. Inactive indicates that the champion model is temporarily suspended from production. Retired indicates that the champion model for this project is no longer in production. To set the status, select an option from the Operation status drop-down list.
Lock project variables	Specifies that the project metadata is locked and the project definition cannot be modified. For more information, see Lock or Unlock Project Variables.

Types of Model Functions
Model Function	Description	Example
Analytical	Function for any model that is not Prediction, Classification, or Segmentation.	None
Classification	Function for models that have target variables that contain binary, categorical, or ordinal values.	DEFAULT_RISK = {Low, Med, High}
Prediction	Function for models that have interval targets with continuous values.	The score output of a prediction model could estimate the weight of a person. The output of a model would be P_Weight.
Segmentation	Function for segmentation or clustering models.	Clustering models

Specific Properties

Specific Properties contain information about tables that are used by the project as well as various input and output variables and values that are used in scoring the models in test and production environments. This data can be added or modified after you add variables. For more information, see Defining Project Input and Output Variables.

Property Name	Description
Default test table	Specifies a default SAS data set that can be used to create the New Dynamic Lift and Interval Target Variable reports.
Default scoring input table	Specifies a default SAS data set that is used as the input data table for all scoring tests within the project. If you specify a value for the Default scoring input table property, the value is used as the default input table in the Add a New Scoring Test window.
Default scoring output table	Specifies a default SAS data set that defines the variables to keep in the scoring results table and the scoring test output table. If you specify a value of the Default scoring output table property, the value is used as the default output table in the Add a New Scoring Test window.
Default performance table	Specifies the default performance table for all model performance monitoring tests within a project.
Default train table	Specifies the default train table that is used for retraining models and for the Training Summary Data Set report. The Default train table is also used to validate scoring functions or scoring model files when a user publishes the associated project champion model or challenger models to a database. This property is optional.
Champion version	Specifies the version that contains the champion model in a production environment.
Model function	Specifies the type of output that your predictive model project generates. The Model function property that you specify affects the model templates that are provided when you are ready to import models into a project. After it has been declared, the Model function property for a project cannot be changed. Ensure that the types of models that you use in the project fit within the selected model function type.
Training target variable	Specifies the name of the target variable that was used to train the model.
Target event value	Specifies the target variable value that defines the desired target variable event.
Class target values	For class, nominal, ordinal, or interval targets, the set of possible outcome classes, separated by commas. For example, binary class target values might be `1, 0` or `Yes`, `No`. Nominal class target values might be `Low, Medium, High`. These values are for information only.
Class target level	Specifies the class target level of binary, nominal, ordinal, or interval.
Output event probability variable	The output event probability variable name, when the Model function property is set to Classification or Analytical.
Output prediction variable	The output prediction variable name, when the Model function property is set to Prediction or Analytical.
Output segmentation variable	The output segmentation variable name, when the Model function property is set to Segmentation or Analytical.

System Properties

System Properties are system-defined properties (UUID, Location, and URL) that you cannot modify.

User-Defined Properties

You can add you own project properties under User-Defined Properties. The property-value pair is metadata for the project.

To create a user-defined property:

On the Properties page, select User-Defined.
Click . The New User-Defined Property window appears.
Enter a name and value for the property. Do not include spaces or double-byte character sets.
Click OK.

To delete a user-defined property:

On the Properties page, select User-Defined.
Select a property.
Click . A confirmation window appears.
Click OK to delete the property.