Import Models

In this exercise you import models into SAS Model Manager from the SAS Metadata Repository, a PMML model file, and a SAS model package file. Then you map the model variables. Before you import the model, verify that the model type is identical to the value of the project Model Function property, classification, or prediction. For more information, see Create a New Project.

Register SAS Enterprise Miner Models to the SAS Metadata Repository (Optional)

If you do not already have models registered in the SAS Metadata Repository, you can use the models in the Tutorial3 folder to complete the next exercise.
To register a model from SAS Enterprise Miner to the SAS Metadata Repository:
  1. From SAS Enterprise Miner, select Filethen selectOpen Model Package.
  2. Navigate to the location of the folder that contains the files. For this example, use <drive:>\Tutorial3\Samples\Reg1\ that was installed by the SAS Model Manager administrator. For more information, see Prepare Tutorial 3 Data Sets and Models. Click OK.
  3. Run the model.
  4. After the model run is complete, you can right-click the node in the SAS Enterprise Miner Diagram Workspace, and select Create Model Package. The new SPK filename appears under the Model Packages folder in your SAS Enterprise Miner Project Navigator.
  5. Right-click the filename and select Register to copy the SPK file from the SAS Enterprise Miner server to your computer.

Import Models from a SAS Metadata Repository

If your SAS Enterprise Miner 5.3 (or later) model files are registered in the SAS Metadata Repository, then you can use SAS Model Manager to import the files.
To import a model that is registered with SAS Enterprise Miner:
  1. Expand the 2013 version in the Loan project and right-click the Models folder. Then select Import fromthen selectSAS Metadata Repository. The SAS Metadata Repository dialog box appears.
  2. Navigate to the location of the folder that contains the SAS Enterprise Miner models. Select a model from the folder.
    Import model from SAS Metadata Repository
  3. Click OK. After SAS Model Manager processes the request to import the model, the new model appears in the Models folder of your project's version.

Import PMML Models

PMML (Predictive Modeling Markup Language) is an XML-based standard for representing data mining results. PMML is designed to enable the sharing and deployment of data mining results between vendor applications and across data management systems. You can use SAS Model Manager to import PMML 3.1 (or later) models that are produced by another software application, such as SAS Enterprise Miner. PMML 4.0 (or later) is supported by SAS Model Manager for creating DATA step score code when importing models. This enables a PMML model to be included in scoring tasks, reporting, and performance monitoring.
To import a PMML model:
  1. Expand the 2013 version in the Loan project and right-click the Models folder. Then select Import Fromthen select PMML Model File. The PMML Model File dialog box appears.
  2. In the PMML model name field, enter Neural.
  3. Navigate to the location of the folder that contains the PMML files. For this example, use <drive:>\Tutorial3\Samples\Neural\ that was installed by the SAS Model Manager administrator. For more information, see Prepare Tutorial 3 Data Sets and Models.
  4. Select the Neural.xml file and click OK.
    Import PMML model from SAS Enterprise Miner
  5. Examine the Models folder to verify that it contains the models. Right-click the folder and select Expand All to examine the model file.

Import Model Package Files

SAS Enterprise Miner and SAS/STAT linear model package files, or SPK files, contain complete model information. You can import SAS Enterprise Miner and SAS/STAT models even if they are not registered in the SAS Metadata Repository. For information about how to create a package file, see the SAS Model Manager: User's Guide.
To import a model that was saved as a SAS package file:
  1. Expand the 2013 version in the Loan project and right-click the Models folder. Then select Import Fromthen selectSAS Model Package File. The SAS Model Package File dialog box appears.
  2. In the Model Name field, enter Reg 1.
  3. Navigate to the location of the folder that contains the SAS model package files. For this example, use <drive:>\Tutorial3\Samples\Reg1 that was installed by the SAS Model Manager administrator. For more information, see Prepare Tutorial 3 Data Sets and Models.
  4. Select the miningResult.spk file and click OK.
    Import model from a SAS Model package file
  5. Repeat steps 2 through 4 to import a second package file that is located in <drive:>\Tutorial3\Samples\Tree1. Name the model Tree 1.
  6. (Optional) Repeat steps 2 through 4 to import a third package file that is located in <drive:>\Tutorial3\Samples\HMEQ_STAT_Item. Name the model HMEQ_STAT_Item.
  7. Repeat steps 2 through 4 in the 2013 version of the HMEQ-Interval project to import a prediction model with an interval target. The package file is located in <drive:>\Tutorial3\Samples\Reg1_Interval. Name the model Reg1_Interval.
  8. Examine the Models folder to verify that it contains the models. Right-click the folder and select Expand All to examine the model files.

Map Model Variables to Project Variables

When the names for the model output variable are not identical to the names for the project output variables, you must map the variables.
To map model output variables to project output variables:
  1. Map model variables for the first model. Select Neural in the Models folder, click the Model Mapping tab in the right pane, and click Edit. Set the following mapping and click OK:
    Project Variables
    Model Variables
    score
    P_BAD1
  2. Map model variables for the second model. Select Reg 1 in the Models folder, click the Model Mapping tab in the right pane, and click Edit. Set the following mapping and click OK:
    Project Variables
    Model Variables
    score
    EM_EVENTPROBABILITY
  3. Map model variables for the third model. Right-click Tree 1 in the Models folder, and select Set Model Output Mapping. Set the following mapping and click OK:
    Project Variables
    Model Variables
    score
    EM_EVENTPROBABILITY
  4. Map model variables for the fourth model. Select HMEQ_STAT_Item in the Models folder, click the Model Mapping tab in the right pane, and click Edit. Set the following mapping and click OK:
    Project Variables
    Model Variables
    score
    P_BAD1
  5. Map model variables for the fifth model. Right-click Reg1_Interval in the Models folder of the 2013 version in the HMEQ-Interval project, and select Set Model Output Mapping. Set the following mapping and click OK:
    Project Variables
    Model Variables
    P_DEBTINC
    P_DEBTINC

Update the Model Life Cycle (Optional)

To complete the milestone task for adding the models:
  1. In the Loan project, expand 2013then selectLife Cyclethen selectDevelop.
  2. Select the Import models task. Select the Status box and select Completed. The Date Completed and Completed By fields have been updated with today's date and your user ID.
  3. Click the Life Cycle node to examine its properties. The value for Date Modified is today's date. The Development property displays a bar chart that shows the percentage of completed tasks for this milestone.
    Life Cycle Import Models task completed
  4. (Optional) Repeat steps 1 through 3 for the HMEQ-Interval project.

Update the Workflow Process (Optional)

To complete the activities in the associated workflow:
  1. Select Toolsthen selectMy Workflow Inbox or click My Workflow Inbox from the SAS Model Manager main window to view the workflow activities in your workflow inbox. Workflow Console is launched in a web browser, and displays the Activities category view.
    Note: The list displays only the activities for which you are the actual owner or are assigned as a potential owner, and that have the state of Started.
  2. From the Activities category view, select an activity name, and click Claim the activity.
    Note: You can select an activity name and click Release the activity to release an activity that you had previously claimed.
  3. (Optional) Enter a property value or change an existing property value in the Properties pane.
  4. (Optional) Double-click an activity to view the activity details. From the activity details view, you can modify activity properties or perform the model management tasks that are associated with the activity.
    Note: If you did not claim the activity from the Activities category view, you can select the Claim check box in the activity status bar.
  5. (Optional) Add a comment to the activity using the Comments pane.
  6. Select a status value to complete the activity. The workflow continues to the next activity.
    Activity Status Menu
  7. Repeat steps 2 through 6 for the activities that you completed during this tutorial.
    Note: A workflow can be configured to display the activities that are associated with a milestone or task on the Workflow Milestones tab and in the Workflow Milestones report for a version in the SAS Model Manager client application. From the Workflow Milestones tab, you can view the status of milestones or tasks that are associated with activities in the workflow.
    Workflow Milestones tab
Note: For more information, see Tutorial 11: Using Workflow Console.
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