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The `assess` action in the Percentile action set is a powerful tool for evaluati...
The forestCode action generates SAS DATA step scoring code from a trained forest...
The forestScore action scores an input table using a previously trained forest m...
Yes, the 'outputTables' parameter can be used to specify a list of display tables that you want to save as CAS output tables.
Yes, you can use the `doNotCluster` parameter. Specify the name of a column in the input table that contains a Boolean flag. If the value for a row is 'true' or '1', it will be placed in its own separate cluster.
The 'minGroupsLL' parameter specifies the minimum number of groups required for using post-read parallel algorithms. The default is 100000, and the minimum value is 1.
Set the `assessOneRow` parameter to `True`. This will add all event probabilities as separate columns, named with the prefix `_NN_P_`, which can then be used with the `assess` action.
Specifies the descriptive label for the variable.