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The annCode action generates SAS DATA step scoring code from a trained artificia...
Reserves an object (and all of its children) for update by only the current clie...
The applyCategory action categorizes text documents based on a pre-built categor...
The input data must contain at least one numeric variable. If this condition is not met, the action will return an error status and an empty dictionary as the result.
When reading a table that was previously a Edges= output table, read vertice sizes rather than reading a verticesIn= table. Alias: useVSizes. Default: FALSE.
The `trainProgram` parameter specifies the CASL training code to be executed. The mitigation action passes several key variables to this program, such as the modified input table (`tableCASLVariable`), the weight variable (`weightCASLVariable`), and the current iteration number (`iterationCASLVariable`).
The addTable action is used to add a table by sending it from the client to the server.
The 'algorithm2' parameter specifies a more efficient algorithm for processing group information. This algorithm might be faster when data contains a large number of groups and the grid has many nodes. The default is False. When set to True, certain other parameters are ignored, and formatted-value columns for input variables are not included in the output table.