Just getting started with this series? Make sure to explore Part 1 and Part 2. There are different ways you can use these two tools to accelerate model building, deployment and monitoring. Figure 1 summarizes best practices for conducting ModelOps using SAS Model Manager and Azure Machine Learning. Best practice […]
5 best practices for optimizing ModelOps with SAS® Model Manager and Azure Machine Learning, part 3 was published on SAS Users.
The CMS-HCC Risk Adjustment models are used to reimburse Medicare Advantage plans based on the health status of the plans’ members. CMS-HCC Risk Adjustment is the practice of assigning a risk score based on demographics and diagnoses to an individual beneficiary of Medicare for the purpose of calculating an expected cost of care, relative to the average beneficiary. Accurate risk adjustment requires an accurate diagnostic profile of an individual on an annual basis, documenting diagnoses via submitted claims or within a provider’s medical record.
Running CMS-HCC Risk Adjustment models with SAS Analytics Pro on Viya was published on SAS Users.
Welcome to this blog series on how to install SAS Analytics Pro on Viya on your personal MacBook. In this first post, we introduce what SAS Analytics Pro on Viya is and how to install the software.
SAS Analytics Pro on Viya – Part 1 was published on SAS Users.
Welcome back to my SAS Users blog series CAS Action! – a series on fundamentals. This post builds upon CAS-Action! Create Columns in CAS Tables – Part 1 by showing how to add formats and modify the length of computed columns. I’ll start by building off the following code where I […]
CAS-Action! Create Columns in CAS Tables – Part 2 was published on SAS Users.
Just getting started with this series? Make sure to read part 1: How ModelOps addresses your biggest Machine Learning challenges. SAS and Microsoft make it easier for companies to address the challenges of machine learning model deployment, monitoring and governance. Specifically, SAS and Microsoft have built integrations between SAS® Model […]
How Microsoft empowers your ModelOps steps, part 2 was published on SAS Users.
SASPy and the SAS kernel for Jupyter Notebook enable you to connect to SAS® 9.4 and the SAS® Viya® compute server from your client machine. You can then interact with SAS and SAS Viya via Python. If you are not familiar with SASPy and the SAS kernel, this article provides an introduction.
Getting started using SASPy® and the SAS® kernel for Jupyter Notebook was published on SAS Users.