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SAS (previously " Statistical Analysis System ") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics.
1 wrz 2023 · SAS Model Manager is the flagship SAS product to perform ModelOps activities. ModelOps means making the deployment and monitoring of machine learning models scalable, to be able to handle any number of models used by an organization.
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.
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 dni temu · SAS Model Management framework focuses on providing to users the ability to register, test, deploy, monitor and retrain open source models. Our goal is to turn the modeling melting pot into business value.
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 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.
