TuRBO

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Config parameters influence on performance

2

Hello, We are trying to use this tool. After setting up a working example, we are still trying to figure out the role of some config parameters: - How does...

ennioVisco

Question about local fitting of GPs

1

Excellent BO algorithm by the way, but I'm a bit confused about how the GP is made local via the trust region in Turbo-1. From reading [your paper](https://proceedings.neurips.cc/paper/2019/hash/6c990b7aca7bc7058f5e98ea909e924b-Abstract.html), I got...

trbedwards

Bump numpy from 1.17.3 to 1.22.0

1

Bumps [numpy](https://github.com/numpy/numpy) from 1.17.3 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependabot[bot]

Hi, Is there a way to obtain the time per iteration Turbo spends? I had quick look at the source code and it seems like the only per-trial information stored...

abhishek-ghose

Bump torch from 1.3.0 to 2.2.0

1

Bumps [torch](https://github.com/pytorch/pytorch) from 1.3.0 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...

dependabot[bot]

Hello, Line 89 in turbo/turbo_m.py: `assert n_trust_regions > 1 and isinstance(max_evals, int)` It seems to be `assert n_trust_regions > 1 and isinstance(n_trust_regions , int)`

qlchen2117