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.

Action Arguments

REGISTER=Y | N

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

MRPATH=SAS-Metadata-Repository-Folder

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/`

SPK=Y | N

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.

SPKFOLDER=SPK-folder-path

specifies the location to store the SPK file.

Requirement

The option is required when you specify SPK=Y.

Model Component Arguments

These arguments must be specified if you do not specify the ITEMSTORE= option:

DATA=training-data-set-name: specifies the name of the training data set for the model.

LEVEL=BINARY | ORDINAL | NOMINAL | INTERVAL

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).
	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.

SCORECODEFILE=filename

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.

SCORECODEFORMAT=DATASTEP | PROGRAM

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.

TARGET=target-variable: specifies the name of the target variable for model.

Optional Arguments

DEBUG=Y | N

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.

MININGALGORITHM=algorithm: specifies the type of algorithm that is used to create the mode (for example, DecisionTree or logistic).

MININGFUNCTION=mining-function

specifies one of the following mining functions:

classification
prediction
segmentation

PMMLFILE=filename: specifies the name of the file that contains the PMML score code. This option is optional.

SCORE=scored-data-set-name: 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.

SEGMENT=variable: specifies the name of the segment variable.

TRAINFILE=train-program-filename: specifies the name of the training program file.