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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…
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**Update and ToDo's 22.11.2024**
- [ ] We would like to name the entire new package `insights` instead of `diagnostics`. At the heart of the new `Insight` class would be the surrogate model as attrib…
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### Question
I have implemented a Bayesian Optimization through a botorch model with a sobol initialization amd it runs perfectly. After that, I thought the 40 points calculated by the process can …
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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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To reproduce:
```python
#!/usr/bin/env python3
from math import pi as π
import numpy as np
from smt.surrogate_models import RMTB
def generate_sine_surface_data(samples=10, dimension=2):
…
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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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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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I have been trying to run a Service version of `qMultiFidelityHypervolumeKnowledgeGradient`; related [thread](https://github.com/facebook/Ax/issues/2514) I have already been able to make the input con…
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### Issue summary
I want to create null models for my parcellated volumetric statistical image (which includes cortical and subcortical regions). I have tried to use all three available functions (bu…