Managing Models in SAS® Viya® Duration: 7 hours VMM : VMM41
Learn How To Manage SAS Model Manager data sources. Import models into SAS Model Manager. Score SAS Model Manager models. Create SAS Model Manager performance reports. Schedule Model Manager jobs.Who Should Attend Anyone involved in data preparation and production model scoring; modelers who create and test models; business analysts who are consumers of the model; and business analysts or consultants who are responsible for integrating models, business rules, and rule flows into operational processes Prerequisites Before attending this course, you should be familiar with data mining concepts and predictive models. SAS Products Covered SAS Model Manager Course Outline Why Manage Models? The analytical live life cycle.Key user roles.Managed model life cycle.Development operations pipeline.Model operations.Model operations environment.Working with Projects and Models Introduction. Project setup. Import models and model properties.Working with Python models.Working with R models.Evaluate models.Import, enable, and use a workflow.Model DeploymentIntroduction. Publishing models. Defining a CAS publishing destination. Scoring deployment. Creating a Model Performance report. Scheduling a performance job. Model retraining (self-study).Scoring SAS Visual Text Analytics Models (Self-Study)Introduction.Scoring SAS Visual Text Analytics models. AppendixModel repositories.How to fit a scoring script for model containerization.Preparing an R model and PMML file.Calculating fit statistics for an R model.Feature contribution index.Model usage summary.
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