This release introduces several exciting new features, such as enhanced open-source model scoring in SAS Model Manager, additional steps in SAS Studio, and greater flexibility in SAS Information Catalog with the ability to link external content to column annotations.
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SAS Model Manager
Improved Performance for Open-Source Model Scoring
SAS Model Manager now leverages the capabilities of Proc Gateway, enabling the scoring of open-source models multiple threads and reducing data movement, leading to big performance improvements. Learn more.
SAS Studio
New Steps
In this release six new steps have been added to SAS Studio: ANOVA Statistical Power and Logistic Regression (Generating Statistics), Panel Data Models and Spatial Regression Models (Working with Econometrics) and Partition Data and Unique Identifier (Preparing Data). Learn more.
SAS Information Catalog
Add Links to Column Annotations
In addition to the capability to add simple text annotations to a column inside of SAS Information Catalog, we can now add links to external content to these annotations as well. Learn more.
Improved Performance for Open-Source Model Scoring
Imagine scoring a model built in Python against hundreds of thousands (or even millions) of rows. In a single-threaded environment, this could take forever. But with the new multi-threaded scoring, you can process data directly on the CAS server, dramatically speeding up the process and reducing data movement.
Brought to you by David Weik, Senior Software Development Engineer, SAS
Quick Tip: Did you know there are three simple ways to add tables to a step in your SAS Studio flow?
My favorite method is the third one—it’s the quickest and requires the least amount of manual work!
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