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
Restores a user-defined action set from a saved table. This is useful for sharin...
Implements generalized linear multitask learning and solves multiple related spa...
The marketattribution action performs market analysis by using market attributio...
specifies variable importance using the random branch assignments (RBA) method. Default: FALSE
You must use the 'path' parameter to provide the path to a text file. This file must contain a list of the paths to the audio files that you want to load into the CAS table.
Use the 'outNodes' parameter to specify an output table. This table will include the original node information along with a new column, typically named 'concomp', which contains the identifier for the connected component that each node belongs to.
The output parameter creates a table on the server containing observationwise statistics after model fitting. It accepts a genmodOutputStatement structure, which includes the required casOut subparameter for specifying output table settings and various options for naming predicted values, residuals, and confidence intervals.
Yes, you can. The 'store' parameter saves the fitted model to a CAS table as a binary large object (BLOB), which can be restored later for scoring or further analysis. Additionally, the 'output' parameter can create a new CAS table containing observation-wise statistics like predicted probabilities, residuals, and confidence limits.