Tag: SAS

Feed: SAS Blogs. Author: Rick Wicklin. I have previously blogged about ways to perform balanced bootstrap resampling in SAS. I recently learned about an easier way: Since SAS/STAT 14.2 (SAS 9.4M4), the SURVEYSELECT procedure has supported balanced bootstrap sampling. This article reviews balanced bootstrap sampling and shows how to use the METHOD=BALBOOT option in PROC SURVEYSELECT to run a balanced bootstrap in SAS. It also addresses the question: Should the balanced bootstrap method be preferred over the traditional bootstrap? What is the balanced bootstrap? The traditional bootstrap method creates bootstrap samples (called resamples) by sampling with ... Read More

Feed: SAS Blogs. Author: Lucas de Paula. In the previous article, we demonstrated how to run CMS-HCC Risk Adjustment Models using SAS Analytics Pro on Viya. Recall that we used the SAS Studio interface to access the demographic and diagnoses input data, set up the model score code and score the input data. In this third article, we will introduce an alternative approach that surfaces the CMS-HCC Risk Adjustment Model execution through SASPy integration to a Flask application. We will demonstrate how this integration allows a user to score an individual patient/member on-demand, using inputs to an interactive web form ... Read More

Feed: SAS Blogs. Author: Thomas Keil. Die Stadt Heidelberg ist bekannt für das romantische Stadtbild, das Touristen aus aller Welt anzieht. Außerdem verfügt sie über die jüngste Bevölkerung in ganz Deutschland, was sie vor allem den vielen Studierenden an einer der ältesten und größten Universitäten Europas verdankt. Weniger bekannt ist vielleicht, dass Heidelberg eine Städtepartnerschaft mit Palo Alto im Silicon Valley pflegt. Das ist kein Zufall, sondern Ausdruck einer ehrgeizigen Digitalisierungsstrategie. Über den gezielten Austausch sollen Hightech-Arbeitsplätze geschaffen und Services für die Bürger:innen entwickelt werden. Und es bewegt sich einiges: Das Heidelberg Business Development Center, gelegen am Palo-Alto-Platz, platzt aus ... Read More

Feed: SAS Blogs. Author: Jay Upchurch. As more businesses embrace their digital transformation journeys, it’s easy to get lost in the cloud hype and overinflate the possibilities of cloud alone. Cloud migration is not a one-stop shop to solve all of an organization’s challenges. Instead, technology leaders need to adopt a cloud-smart mindset to maximize value, drive innovation and improve data-driven outcomes. This approach helps organizations better balance their specific needs while modernizing their cloud strategies. It’s a sweet spot where innovation flourishes and getting there is made significantly easier with trusted, like-minded partners in place. With this shared mindset, ... Read More

Feed: SAS Blogs. Author: Matt Scicchitano. Here at SAS, we understand the importance of having access to cutting-edge professional resources. That’s why, for more than 40 years, we’ve provided individuals in programming, data management and analytics fields with low-cost and no-cost materials that promote success in their educational and professional journeys. And today, as the demand for employees with advanced skill sets and global certifications grows, we get it – having the ability to easily access the tools you need to succeed is more important than ever. We’ve got you covered. As part of our ongoing commitment to helping individuals ... Read More

Feed: SAS Blogs. Author: Conor Hogan. Just getting started with this series? Make sure to explore the earlier posts Part 1, Part 2 and Part 3. Up until now, you have seen how ModelOps can solve your biggest machine learning challenges and that SAS and Microsoft, together, can help you deploy, govern and monitor your models anywhere in the Microsoft Cloud. But what does that look like in practice and what value does that provide you? In this blog, we will share how to register SAS and open-source models from SAS Model Manager to Azure Machine Learning and then call ... Read More

Feed: SAS Blogs. Author: Jagruti Kanjia. Authors: Ricky Tharrington and Jagruti Kanjia In this post, you’ll learn how to assess the bias of machine learning models using tools available in SAS Viya 4. As artificial intelligence grows in popularity, the lives of individuals are increasingly impacted by the predictions of machine learning models in ways ranging from ad suggestions on social media to credit application approvals. Regardless of the importance of the scenario, every model application has the potential to affect separate segments of the user population differently. It’s important for data scientists to understand the biases present in their ... Read More

Feed: SAS Blogs. Author: Stuart Rogers. The SAS Viya LTS 2021.2 release supports application multi-tenancy. This 3-part series reviews how authentication can be configured. In this post, we look at configuring OpenID Connect (OIDC) authentication in a multi-tenant (M-T) environment. The SAS Viya configuration of OIDC authentication could be performed in the M-T provider and apply to all tenants or could be configured in one or more individual tenants and only apply to that tenant. For this post, we configure ODIC for the M-T provider and the marketing tenant. The third-party OIDC Identity Provider, such as Azure Active Directory, has ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. In The Essential Guide to Bootstrapping in SAS, I note that there are many SAS procedures that support bootstrap estimates without requiring the analyst to write a program. I have previously written about using bootstrap options in the TTEST procedure. This article discusses the NLIN procedure, which can fit nonlinear models to data by using a least-squares method. The NLIN procedure supports the BOOTSTRAP statement, which enables you to compute bootstrap estimates of the model parameters. In nonlinear models, the sampling distribution of a regression estimate is often non-normal, so bootstrap confidence ... Read More

Feed: SAS Blogs. Author: Conor Hogan. 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. Figure 1: Five best practices to optimize the ModelOps life cycle on the Microsoft Cloud. Best practice 1: Create models with repeatable machine learning pipelines using SAS® Model Manager When data scientists create models in SAS Viya and register in SAS Model Manager, they can innovate ... Read More