Creates an SPK package file and registers models to the SAS Metadata Repository.
specifies the name of the model.
| Default | aa_model_&sysuserid, where &sysuserid contains the user ID or login of the current SAS process. |
is a description of the model.
specifies the name of the item store that is created by some SAS/STAT procedures. The item store is used to retrieve input and target variable metadata, data set names, score code, training code, the mining algorithm, and the mining function.
| Note | Item store data is not available from these SAS/STAT procedures: REG, GLM, GENMOD, GLIMMIX, PHREG, and SURVEYPHREG. |
| Tip | If you do not specify the ITEMSTORE= option, you must specify these options: DATA=, TARGET=, SCORECODEFILE=, SCORECODEFORMAT=. If you specify the ITEMSTORE= option, you do not need to specify these options. |
specifies whether to register the model in the SAS Metadata Repository.
| Y | indicates to register the model in the SAS Metadata Repository. |
| N | indicates not to register the model in the SAS Metadata Repository. |
| Default | Y |
specifies a folder, using SAS Folders as the root node in the SAS Metadata Repository, where the model is registered.
| Default | /Shared Data/ |
| Note | The forward slash ( / ) after the last folder in the path is not required. |
| Example | /Shared Data/Model Manager/Models/ |
specifies whether to create a SAS package file:
| Y | indicates to create a SAS package file. |
| N | indicates not to create a SAS package file. |
| Requirement | If SPK=Y, you must use the SPKFOLDER= option to specify a location to store the SPK file. |
specifies the location to store the SPK file.
| Requirement | The option is required when you specify SPK=Y. |
specifies the name of the training data set for the model.
specifies the class target level of the model.
| Binary | the variable can contain two discrete values (for example, Yes and No). |
| Ordinal | the variable can contain discrete values that have a logical order (for example, 1, 2, 3, 4). |
| Nominal | the variable contains discrete values that do not have a logical order (for example, car, truck, bus, and train). |
| Interval | the variable contains values across a range. For example, temperature ranges could be between 0–100. |
specifies the name of the file that contains the score code.
| Tip | If you specify the ITEMSTORE= option, you do not need to specify this option. |
specifies the format of the score code.
| DATASTEP | the score code contains only DATA step statements |
| PROGRAM | the score code contains DATA step statements, procedures, or macros. |
specifies the name of the target variable for model.
specifies whether to prevent deletion of the generated data sets:
| Y | indicates to keep the generated data sets. |
| N | indicates not to keep the generated data sets. |
specifies the algorithm for looking up CLASS levels in SAS/STAT models. Here are the valid lookup methods:
selects the LINEAR algorithm if a CLASS variable has fewer than five categories. Otherwise, the Binary algorithm is used. This is the default.
specifies to use a binary search. This method is fast, but it might produce incorrect results. The normalized category values might contain characters that collate in different orders in ASCII and EBCDIC, if you generate the code on an ASCII machine and execute the code on an EBCDIC machine, or vice versa.
uses a linear search with IF statements that have categories in the order of the class levels. This method is slow if there are many categories.
uses a SELECT statement.
| Requirement | Use Lookup=Select when a SAS/STAT model contains non-latin1 characters to ensure the generation of the correct score code. If a model with non-latin1 characters is published to a database and Lookup=Select is not specified, the scoring results might be incorrect. |
specifies the type of algorithm that is used to create the mode (for example, DecisionTree or logistic).
specifies the name of the file that contains the PMML score code. This option is optional.
specifies the name of the scored training data set. This data set is used when there is no score code available to determine the output variables.
specifies the name of the segment variable.
specifies the name of the training program file.