Blogs

Tag: model optimization

Programming Tips

Stu SztukowskiDecember 17, 2025 0

The Afterparty: Hyperparameter Autotuning Revisited

In my first blog on hyperparameter autotuning, I used a cake analogy to show how to use hyperparameter autotuning with Optuna and the sasviya.ml package in Python to improve detecting Higgs Bosons in a particle accelerator. SAS Viya Workbench now supports hyperparameter autotuning in SAS code with a variety of

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Advanced Analytics | Artificial Intelligence | Machine Learning

This track is an example of simulated data modelled for the CMS detector on the Large Hadron Collider (LHC) at CERN. Here a Higgs boson is produced which decays into two jets of hadrons and two electrons. The lines represent the possible paths of particles produced by the proton-proton collision in the detector while the energy these particles deposit is shown in blue.

Stu SztukowskiJune 13, 2025 0

Boost ML accuracy with hyperparameter tuning (with a fun twist)

Hyperparameter autotuning intelligently optimizes machine learning model performance by automatically testing parameter combinations, balancing accuracy and generalizability, as demonstrated in a real-world particle physics use case.

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Machine Learning

Paata UgrekhelidzeSeptember 22, 2020 0

Machine Learning Decisioning & System Automation with SAS Viya

We will combine three separate SAS Viya capabilities to create an application that can manage multiple models, interpret model outputs, and replace the production model if necessary

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