SAS^® Scoring Accelerator

SAS format library

Automatically included in your SAS Enterprise Miner installation for adding to your process flow diagram analyses.
Exports the model-scoring logic, including metadata about the required input and output variables.
Generates sample training and a scoring data set for testing.
Register SAS Enterprise Miner models to SAS Model Manager (optional).

SAS Model Manager is required to register and publish linear models created using SAS/STAT and for in-database scoring using SAS Scoring Accelerator.
Support is available for a select set of predictive models created using the following procedures: LOGISTIC, GENMOD, REG, GLMSELECT, GLM, GLIMMIX and MIXED.

Automatically translates and publishes the model as a scoring function or SAS DS2 program inside the database.
Generates a script of database commands for registering the scoring function or SAS DS2 program inside the database.
Scoring functions or SAS DS2 programs are available for use in any SQL expression wherever database-specific built-in functions are typically used.
Publishes model as protected or unprotected.
Supports SAS intrinsic and user-defined formats.
Supports a robust class of SAS Enterprise Miner predictive and descriptive models, including the preliminary transformation layer (such as data imputations).
Provides variable binning and reduction.

Fully integrated with SAS Model Manager (required for SAS/STAT linear models and optional for SAS Enterprise Miner models) to further streamline the registration, validation and scoring of SAS models in the database.

In SAS Viya, models created by submitting a CAS action or a SAS procedure, or by using Model Studio, can be deployed in-database for scoring purposes. For a complete list of which SAS Viya models are supported by the SAS Scoring Accelerator, see this table.