The starting point for your SAS® and Viya™ projects
Discover technical articles from the community
Snippets & Tutorials
FAQ & Help
Business Use Cases
Full Catalog & Examples
Preparation Scripts
SAS & Python Integration
News, tech watch and site updates
Participate in the life of the site
The lmDecode action decodes recurrent neural network (RNN) scores using a specif...
Flags a backup, previously initiated with the createBackup action, as complete. ...
The aggregate action performs aggregation on selected variables. It provides a w...
Displays the number of worker nodes associated with this session.
The action produces an output table (specified by the "casout" parameter) that contains the identified frequent sequences and their support values.
You can use the `maxIters` parameter to set the maximum number of iterations for the exponentiated gradient reduction algorithm (default is 10) and the `learningRate` parameter to define the step size for updates (default is 0.01).
specifies the minimum y-coordinate vertices have when determining a nBody graph.
The 'computedVarsProgram' subparameter (alias: 'compPgm') specifies the expression for each computed variable defined in the 'computedVars' parameter within 'modelTable'.