Import Models from Local Files

You can import R models, and you can also import models that you created using SAS code, but that were not created in or exported from SAS Enterprise Miner. An example of a model might be a SAS LOGISTIC procedure model, a SEVERITY model, or an R logistic model. You can also add files later that were not available when the model was originally imported.

When you import models using the local file method, keep the following in mind: For more information, see Model Template Component Files.

To use the Local Files method, you must prepare model component files. Model component files provide the metadata that is used to process a model in SAS Model Manager. The model component files that you prepare are dependent upon the project's model function. You can find the model function in the project property Model function. The model functions for SAS code models are analytical, classification, prediction, or segmentation. The model functions for R models are analytical, classification, or prediction. For a list of component files by model function, see Model Templates. If you do not have all of the component files when you import the model, you can create them and add them later. For more information, see Add Model Files to an Existing Model.

SAS code models, at a minimum, require a score code component file (score.sas) and other component files to define the model input and output variables in SAS tables. Prediction and classification models also require a component file to define target variables.

R models, at a minimum, require SAS and R score code component files, a file for the output parameter estimate, and the other component files to define the model input and output variables using either SAS data sets or XML files. Prediction and classification models also require a component file to define target variables. For more information, see Overview of Using R Models with SAS Model Manager.

The score code component file (score.sas) is DATA step score code and is used as input by the SAS Scoring Accelerator when publishing a model to a database. In the scoring function publish method, some SAS language elements and syntax are not supported when you create or modify your score code. Only the SAS language elements and syntax that are required to run critical data transformations and model scoring functions are available. If you use a statement or function that is not supported, your model is not published to the database. For more information, see Considerations When Creating or Modifying DATA Step Score Code in SAS In-Database Products: User’s Guide.