SAS Model Manager and the sasctl packages aim to create a seamless ModelOps and MLOps process for Python and R models. Python and R models are not second-class citizens within SAS Model Manager. SAS, Python, and R models can be easily managed using our no-code/low-code interface. This is an interface that can be extended to support a variety of use cases.

SAS Model Manager and the sasctl packages aim to create a seamless ModelOps and MLOps process for Python and R models. Python and R models are not second-class citizens within SAS Model Manager. SAS, Python, and R models can be easily managed using our no-code/low-code interface. This is an interface that can be extended to support a variety of use cases.
The post MLOps for Pirates and Snakes: The Sasctl Packages for R and Python appeared first on SAS Blogs.

MLOps for Pirates and Snakes: The Sasctl Packages for R and Python

SAS expert Leonid Batkhan presents the %embed macro function as a way to embed both “foreign” and SAS native code from a file into a SAS program, preventing clutter in your code.

SAS expert Leonid Batkhan presents the %embed macro function as a way to embed both “foreign” and SAS native code from a file into a SAS program, preventing clutter in your code.
The post Embedding any code anywhere into SAS programs appeared first on SAS Blogs.

Embedding any code anywhere into SAS programs

Since 2008, SAS has supported an interface for calling R from the SAS/IML matrix language. Many years ago, I wrote blog posts that describe how to call R from PROC IML. For SAS 9.4, the process of installing R and calling R from PROC IML is documented in the SAS/IML [...]

Since 2008, SAS has supported an interface for calling R from the SAS/IML matrix language. Many years ago, I wrote blog posts that describe how to call R from PROC IML. For SAS 9.4, the process of installing R and calling R from PROC IML is documented in the SAS/IML [...]
The post Installing R for SAS IML in SAS Viya appeared first on SAS Blogs.

Installing R for SAS IML in SAS Viya

A SAS programmer recently asked why his SAS program and his colleague's R program display different estimates for the quantiles of a very small data set (less than 10 observations). I pointed the programmer to my article that compares the nine common definitions for sample quantiles. The article has a [...]

A SAS programmer recently asked why his SAS program and his colleague's R program display different estimates for the quantiles of a very small data set (less than 10 observations). I pointed the programmer to my article that compares the nine common definitions for sample quantiles. The article has a [...]
The post Compare the default definitions for sample quantiles in SAS, R, and Python appeared first on SAS Blogs.