PMML (Predictive Modeling
Markup Language) is an XML-based standard for representing data mining
results. PMML is designed to enable the sharing and deployment of
data mining results between vendor applications and across data management
systems. The SAS Model Manager Import PMML Models feature enables
users to import PMML models that are produced by using another application,
such as SAS Enterprise Miner. PMML 4.0 (or later) is supported by
SAS Model Manager. Models that are created using PMML 4.0 support
DATA step score code. For more information about PMML support in SAS
Enterprise Miner, see the
SAS Enterprise Miner Help.
Note: Before you import a model
into your project's version, verify that the model type matches the
Model
Function property setting on the Project Properties panel.
For more information,
see Specific Properties for a Project.
Note: SAS Model Manager does not
support the importing of a PMML file that contains multiple models.
To import a PMML model
into SAS Model Manager, follow these steps:
-
-
Right-click the
Models folder
and select
Import fromPMML
Model File. The
PMML Model
File window is displayed.
-
Navigate to the location
of the PMML file and select the file.
-
Enter a text value in
the
PMML model name field.
-
Click
OK.
After the SAS Model Manager processes the model import request, the
new model appears in the
Models folder of
your project's version.
-
Repeat steps 2 through
5 to import additional PMML files from your folder.
Note: After you import a PMML 4.0
model, you can score the model using a scoring task and you can create
a model comparison report for the model. You can score tree, regression,
and neural PMML models. You cannot publish a scoring function to a
database or define a performance task if the PMML model is set as
the champion model.