Explore. Share. Code.

The starting point for your SAS® CAS projects

Articles
Technical Articles

Discover technical articles from the community

Code SAS
SAS® Code

Snippets & Tutorials

FAQ
Q&A Base

FAQ & Help

Scenarios
Scenarios

Business Use Cases

CAS Actions
CAS Actions

Full Catalog & Examples

Data Step
Data Step

Preparation Scripts

Python
Python

SAS & Python Integration

Blog
Blog

News, tech watch and site updates

Join the community

Participate in the life of the site

Community by the numbers

0
Documented Actions
0
Code Examples
0
Articles Techniques
0
Scénarios Métiers
0
Solved Questions

Latest Articles

Stress Test & Benchmarking SAS Viya: Efficiently saturating your CAS CPU cores
23/12
SAS Viya Programming Guide
Mastering Resource Allocation in SAS Viya: An Expert's Guide to Launcher Contexts
21/12
Guide SAS VIYA
Optimizing the Data Step in SAS Viya: The Expert Guide
10/12
Guide SAS VIYA
View articles   Knowledge Hub

Top 3 Popular

1
accessPersonalCaslibs
accessControl
50
2
addCaslib
table
42
3
aggregate
aggregation
33

Discover

annScore
neuralNet

The `annScore` action scores a data table using a pre-trained artificial neural ...

listServOpts
configuration

Displays the server options and their current values. This action is particularl...

actionSetFromTable
builtins

Restores a user-defined action set from a saved table. This is useful for sharin...

Random FAQ

inputs

specifies the input variables to use in the analysis. For more information about specifying the inputs parameter, see the common casinvardesc parameter. Alias: input format: specifies the format to apply to the variable. formattedLength: specifies the length of the format field plus the length of the format precision. label: specifies the descriptive label for the variable. name: specifies the name for the variable. nfd: specifies the length of the format precision. nfl: specifies the length of the format field.

See answer
On: forestTrain
model.weights.whereTable.name (Required Parameter)

Specifies the name of the filter table.

See answer
On: IdentifySpeakers
What is the primary function of the flattenImages action?

The flattenImages action converts image tables into a wide format, resulting in one column per pixel.

See answer
On: flattenImages
How can I specify which variables to analyze for missing patterns?

You can use the 'inputs' parameter to provide a list of variables to be included in the analysis. If this parameter is not specified, the action may use a default set of variables from the input table.

See answer
On: analyzeMissingPatterns
What is logLevel?

Default: 0. Minimum value: 0.

See answer
On: gbtreeTrain
See full FAQ
Copyright © WeAreCAS 2014-2026
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. WeAreCAS is an independent community site and is not affiliated with SAS Institute Inc.