Track projects, models and their supporting artifacts for simplified model management. SAS Model Manager’s advanced features allow you to govern, organize and navigate your modeling lineage and versioning to rapidly and responsibly find what you need. Reduce headaches by ensuring models run within SAS Model Manager and production environments.

SAS Models. Tackle business challenges head-on with lightweight, industry-focused AI models that are ready to deploy. These models are based on our decades of expertise in applying scalable and trustworthy AI models to real-world use cases across industries, including banking, health care, manufacturing, public sector and more.

Search and discover models across your organization. Access models and artifacts using the user interface or programmatically through REST API, SAS code or Python code to integrate with automated MLOps processes. Manage, version, score and govern SAS, Python, R and other models across your enterprise.

SAS Model Manager enables you to store models within folders or projects, develop and validate candidate models, and assess candidate models for champion model selection – then publish and monitor champion models.

3 天之前 · Learn how to improve model management and workflow management by ensuring that your tools, processes and environments are as efficient as they can be. Register, develop and validate candidate models. Assess and compare candidate models for champion model selection and ultimately deploy or publish selected models.

Automatically documents all changes to data models, and ensures auditability for regulatory reporting. Includes interactive model risk dashboards. Provides an end-to-end model governance platform. Enables complex systems of models to be grouped together. Facilitates model control by enabling all models and model groups to be versioned and searched.

SAS Models are both high-performance and portable, enabling organizations to leverage scalable capabilities that enhance their AI maturity models. By embedding functioning and tested elements where and when needed, SAS Models offer tailored …

2023年9月1日 · With SAS Model Manager you can: • track data, models, and score code. • work with models developed in SAS 9 and SAS Viya as well as Open Source languages. • run champion-challenger tournaments. • assess the performance of models over time. • use workflow to assign tasks to users when ModelOps activities are required. • and much more.

2025年1月16日 · SAS Model Manager provides a central model repository and model management environment for predictive and analytical models. Users can organize modeling projects, develop and validate candidate models, assess candidate models for champion model and challenger model selection, publish and monitor champion models in a production environment, and ...

SAS Model Manager helps streamline analytical model registration, deployment, monitoring, and management of SAS and open-source models, keeping them in one central place for data scientists and information technology (IT) teams.

2 天之前 · You learn how to define data properties, use basic and advanced pipeline templates, and include models written in Python in a model tournament. This Quick Start tutorial shows you how to train and deploy models using Model Studio pipelines.

Execute complex and computationally intensive modeling systems for bank stress tests and for other enterprise-level risk assessments. SAS Model Implementation Platform is a web-based solution that helps you streamline the model estimation-to-implementation process, dramatically reduce model run times, and improve auditability.

2023年11月4日 · SAS Model Manager is a powerful tool for building, deploying, and managing predictive models. It offers a centralized repository for models, as well as a suite of tools for managing the entire model development lifecycle. Some of the key capabilities of SAS Model Manager include:

2024年6月24日 · One of the key capabilities of SAS Model Manager is the ability to execute SAS, Python, and R models, so that these models can be used to easily score new data. In fact, SAS Model Manager supports multiple execution environments, from batch execution within SAS Viya to transactional REST-API endpoints hosted on SAS Viya or outside of it via ...

2019年12月23日 · SAS Model Studio, included with SAS Viya, is the integrated visual environment that supports model development for SAS Visual Data Mining and Machine Learning, SAS Visual Forecasting, and SAS Visual Text Analytics. SAS Model Studio also supports workflows for open source models and custom SAS code.

2024年10月28日 · Provides details about managing data modeling projects using SAS Model Manager, as well as instructions for completing the tasks that are associated with modeling project milestones.

Unsupervised learning techniques can be used in conjunction with supervised techniques in an effort to improve model performance. Additionally, it can be used on it’s own when there is a lack of target data. Obs. clustering provides description of data (ex: do your consumers fall naturally in to specific groups?

5 天之前 · This Quick Start tutorial shows you how to deploy and monitor models using SAS Model Manager. You learn fundamental ModelOps activities including registering a champion model, running a score test, and monitoring a model after deployment.

With the new bias and fairness metrics in the Model Card on SAS Model Manager, it was only a matter of time before bias and fairness charts were added to the performance monitoring report. As of 2025.03, the wait is over! Users can now see how a model’s performance on fairness and bias changes over time. With this additional information ...

3 天之前 · For users of SAS Model Manager on SAS Viya, the good news is that there are capabilities to make this process far easier. Score code is automatically written for SAS models registered from SAS Model Studio or SAS Visual Analytics. This means that score code is generated for these models with the click of a button!