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The `addPrototypes` action from the `fcmpact` action set allows for the dynamic ...
The bartProbit action fits a probit Bayesian Additive Regression Trees (BART) mo...
Restores a user-defined action set from a saved table. This is useful for sharin...
The 'seed' parameter specifies the seed for generating random numbers for the simulation, allowing for reproducibility. The default value is 0.
The 'scoredTable' parameter specifies the output table to contain the scored outputs.
The action requires two main input tables: the 'restore' table, which contains the fitted model information, and the 'table' parameter, which specifies the data table to be used for the lack-of-fit computation.
specifies the split criterion for each tree node.
The `restore` parameter is required. It is used to specify the input table that contains the regression model information, restored from a binary large object (BLOB).