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:
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The table names that you specify
as model components must start with a letter or underscore.
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Table names can contain a period.
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Table names cannot be more than 32
characters long.
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Spaces or
special characters (for example, ~`!@#$%^&*()+={}[]|\\:;'<>?/") are not valid in a table name.
For
more information, see Model Template
Component Files.
Note: HPFOREST models cannot be
imported using local 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.
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.
To import models from
local files:
-
Click
and select
from local files.
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Note: If you specify values for
the properties and then select a different template, the values are
cleared.
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Click Properties and
specify the model properties.
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Click Files and select the local files from the SAS Workspace Server that match the template
files. You cannot delete a file once you have added it. To replace the file, select
another file or cancel the import and start over.
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