The most recent release for SAS® Viya® 3.5 is SAS Model Manager 15.3.
The most recent release for SAS 9.4 is SAS Model Manager 14.3.
What's New in SAS Model Manager 15.3
- compute partial model performance monitoring based on the input data
- generate DS2 score code from Python code
- import and export analytic store models
- perform an advanced search for models and projects
- publish open-source models such as Python and R to container publishing destinations
- compute the feature contribution index (FCI) to measure the relationships between input and output variables
- view published history for models within a project
What's New in SAS Model Manager 14.3
Starting with the SAS Model Manager 14.3 on SAS 9.4M6 release, the user interface has been rewritten in HTML5. Here are some differences:
- SAS Management Console replaces the Data category as the way to create data libraries and register tables.
- The Manage Folders feature replaces the New Folder window and Actions menu options for managing folders. The Manage Folders feature enables you to create and manage folders from within the Models, Projects, and Portfolios category views.
- The Models category view replaces the Inventory category view, and provides a way to import models into a folder, as well as export models and manage models in one place.
- In the application bar, the name SAS Decision Manager has been changed to SAS Decision Management.
Get Started
Ready to make the best decisions for your business based on predictive analytics? These resources are a good place to start.
Watch video
See how SAS Model Manager streamlines analytical model deployment and management.
Learn the basics
Learn and practice the basic tasks to manage models within an enterprise computing environment using SAS Model Manager:
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Tutorials
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Working with Workflows
Managing Versions & Model Content
Configuration Settings
Training Courses
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SAS Technical Papers
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SAS Global Forum Papers
- SAS Model Manager: An Easy Way for Deploying SAS Analytical Models to Databases and Hadoop
- Time Is Precious, So Are Your Models: SAS Provides Solutions to Streamline Deployment
- Creating a SAS Model Factory Using In-Database Analytics
- Rapid Predictive Modeling for Customer Intelligence
- Dashboard Reports for Predictive Model Management
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