This session introduced R-sasctl and demonstrated how to leverage the package to bridge the gap between data scientists and MLOps engineers for R models.
R-sasctl was released in January of this year and in our SAS Model Manager community. R-sasctl helps generate the score code and metadata for R models as well as allows R developers to import their model into SAS Model Manager directly from their R development environment. This makes the hand-off between our data scientist developing in R and our MLOps engineer managing and operationalizing the model much easier. R-sasctl has several other neat functions as well, but we are going to focus on the registration today.
To learn more about R-sasctl, check out the following resources:
Presentation slides are attached to this post.
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