Abstract: Automatic performance tuning (auto-tuning) is widely used to optimize performance-critical applications across many scientific domains by finding the best program variant among many choices.

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

As can be seen, you do it like any other model from Scikit-Learn library such as Random Forest, Decision Tree, XGBoost,... This section explains how to use different types of variables from the ...

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Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Looking for the ultimate tuning tool? In this full review and step-by-step guide, we dive into everything you need to know about Autotuner — features, performance, pros and cons, and whether it’s ...