Python Environments Analytics Life Cycle for SAS Viya Workbench 1 Access Data 2 Explore Data 3 Prepare Data 4 Build the Model 5 Interpret Model Output 6 Deploy the Model Administration Create a virtual environment Check the installed packages Install new packages Reference Computer Vision Annotate images Load and save images Process images Enumerations Machine Learning Data processing Model assessment Decomposition models Gaussian mixture models K-means clustering Linear models Support vector models Tree models Last updated: April 17, 2026
