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Using the example https://github.com/sxs-collaboration/gwsurrogate/tree/master?tab=readme-ov-file#download-surrogate-data-and-load-it
I found that once the surrogate has been evaluated, dyn is retu…
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**Submitting author:** @sfield17 (Scott Field)
**Repository:** https://github.com/sxs-collaboration/gwsurrogate
**Branch with paper.md** (empty if default branch): joss_paper
**Version:** v1.1.6
**Edi…
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* **What is the current behavior?**
The current problem format does not support simulators and surrogates.
* **Describe the solution you'd like**
The problem format should be updated to support s…
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It would be great, if probeye had the possibility to directly define and use surrogate models to reduce the computing time when working with computationally expensive forward models.
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Additionally to our projects regarding the surrogate models for modelling the spread of Covid 19 in one population, we want to introduce Graph Neural Nets (GNNs). GNNs are usefool tools for graph-like…
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As discussed with @salomonl , it would be great to be able to specify a surrogate model.
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Would it be possible to add support for additional particles (deuterons) and higher-order magnetic elements in Cheetah? As you may know, the particle accelerator for IFMIF-DONES is currently optimizi…
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### Question
I am trying the predict chemical reaction rates in different solvent combinations. I want to use SEBO because the parameter space can contain upto 30 solvents and in most cases the there…
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Hi,
I was wondering if you could provide the code how you trained the surrogate models?
This is important to understand how the search space encoding influences the surrogate model.
As far as I un…
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As far as I understand:
- Bayesian Optimization is available in tidymodels - tune using the function `tune_bayes`, and
- the `tune_bayes` function uses `GPfit::GP_fit()` to fit a Gaussian Process a…