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Performs functional PCA training. The fPca action implements the Functional Prin...
The addUserActionSetPath action adds a caslib to the user-defined action set sea...
The fastknn action performs a k-nearest neighbor search. It calculates the dista...
Yes, the 'prefix' parameter allows you to specify a prefix that will be applied to the names of the newly created reduced variables. The default prefix is "rv".
Use the "support" parameter (alias "supmin") to specify the minimum level of support as a value between 0 and 1. Alternatively, you can use "supportCnt" to specify a minimum count of transactions.
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 plMaxIter parameter specifies the maximum number of iterations for the profile likelihood computations. The default value is 25, and the minimum value is 0.
The 'sparse' parameter, when set to True and the action is running on a distributed server, means each thread reads data from only a few groups. This can improve performance with many threads or groups. The default is False, and in some cases, 'sparse' is enabled automatically.