CAS Actions
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The starting point for your SAS® CAS projects
Full Catalog & Examples
Data preparation scripts
FAQ & Help
Business Use Cases
The assumeRole action allows a user to temporarily adopt a specific administrati...
The `binning` action in the `dataPreprocess` action set is a powerful tool for u...
The bartScoreMargin action computes predictive margins by using a fitted Bayesia...
The process involves a burn-in phase followed by the main sampling phase. The 'nBI' parameter sets the number of burn-in iterations (default 100), which are discarded. The 'nMC' parameter specifies the number of subsequent MCMC iterations that are saved for prediction (default 1000).
Use the `copyVars` parameter to specify a list of one or more variables to be copied from the scoring table to the output table.
The 'modelId' parameter specifies a variable name for the model ID that will be included in the generated DATA step scoring code. By default, if not specified, the variable name is prefixed with 'ANN_' followed by the target variable name.
The bart.bartGauss action fits Bayesian additive regression trees (BART) models to normally distributed response data.
The 'fmtSearch' parameter specifies how the new format library is added to the session's format search order. The options are: 'APPEND' (adds it to the end of the search list, default), 'INSERT' (adds it to the beginning of the search list), 'REPLACE' (replaces the entire search list with this library), and 'NONE' (adds the library without modifying the search list).