Project Properties

About Project Properties

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

Project properties are organized into several types:

The General Properties and System Properties are system-defined properties that you cannot modify, except for the description of the folder. 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. You can add your own project properties under User-Defined Properties. The property-value pair is metadata for the project. The background color of a property distinguishes whether you can modify a property value. You can modify only the fields that are white. When you click in a field, you either enter a value or select a value from the list box.

Project-Specific Properties

Property Name	Description
Lock Project Metadata	Specifies that the project metadata is locked and the project definition cannot be modified.
Default Test Table	Specifies a default SAS data set that can be used to create model assessment reports such as dynamic lift charts.
Default Scoring Task Input Table	Specifies a default SAS data set that is used as the input data table for all scoring tasks within the SAS Model Manager project. If you specify a value for the Default Scoring Task Input Table property, the value is used as the default input table in the New Scoring Task window.
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. If you specify a value of the Default Scoring Task Output Table property, the value is used as the default output table in the New Scoring Task window.
Default Performance Table	Specifies the default performance table for all model performance monitoring tasks within a SAS Model Manager project. The value of the Default Performance Table property is used as the default value for the Data Source column in the Define Performance Task wizard if a default performance table is not specified for a version or for the model.
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, SAS Model Manager does the following: uses default train table to validate scoring functions or scoring model files when a user publishes the associated project champion model or challenger models to a database. checks the Validate scoring results box in the Publish Scoring Function window. The value of the Default Train Table property is used to validate scoring functions or scoring model files only if a default train table is not specified for a version or for the model.
State	Specifies the current state of the project: Under Development specifies the time period from the project start to the time where the champion model is in a production environment. Active specifies the time period where the champion model is in a production environment. Inactive specifies the time period when a project is temporarily suspended from the production environment. Retired specifies that the champion model for this project is no longer in production.
Default 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 SAS Model Manager provides when you are ready to import models into one of your project's version folders. Once 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.
Interested Party	Specifies any person or group that has an interest in the project. For example, an interested party would be the business department or the business analyst whose request led to the creation of a SAS Model Manager project.
Training Target Variable	Specifies the name of the target variable that was used to train the model.
Target Event Value	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.
Output Prediction Variable	The output prediction variable name, when the Model Function property is set to Prediction.
Output Classification Variable	The output classification variable name, when the Model Function property is set to Classification.
Output Segmentation Variable	The output segmentation variable name, when the Model Function property is set to Segmentation.

Types of Model Functions
Model Function	Description	Example
Analytical	Function for any model that is not Prediction, Classification, or Segmentation.	None
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.
Classification	Function for models that have target variables that contain binary, categorical, or ordinal values.	DEFAULT_RISK = {Low, Med, High}
Segmentation	Function for segmentation or clustering models.	Clustering models
Any	Specify Any when you import a SAS code model and you want a choice of the model template to use in the Local Files window. When you specify Any, SAS Model Manager lists the available model templates in the Choose a model template list in the Local Files window.	None