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 aggregate action performs aggregation on selected variables. It provides a w...
The match action processes an input data table to identify and group similar rec...
The compileCategory action builds a categories model from a set of category rule...
The exportTextModel action is used to build a category astore model, a concept astore model, and a sentiment astore model.
specifies the number of input variables to consider for splitting on a node. The variables are selected at random from the input variables for each tree. By default, forest uses the square root of the number of input variables is used, rounded up to the nearest integer. For gradient boosting, the number of input variables is used. Minimum value: 1
The action returns a result table containing details for each session, including the session name, its UUID, the user who initiated it, and its current state.
The 'alpha' parameter is a tunable parameter that manages the trade-off between the acoustic model and the language model. A larger alpha value gives more weight to the language model when ranking candidates. The default value is 1.
To run the `assess` action, you must specify the `table` parameter, which defines the input data table, and the `response` parameter, which indicates the response variable for the model assessment.