The SAS Data Science Blog
Advanced analytics from SAS data scientists
%FiniteHMM Macro for finite Hidden Markov Models
Learn how the %FiniteHMM macro can automatically pre-process input data as well as post-process output tables for finite Hidden Markov Models (HMMs) using PROC HMM.
MLOps for Pirates and Snakes: The Sasctl Packages for R and Python
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.
FINE flow analytics: locality and simplicity eat centrality and complexity for breakfast
A close look at the first of five DevOps ideals in Gene Kim's book, “The Unicorn Project."