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Dear Javier,
currently I am working on an optimization of hyperparameters for solving the traveling salesman problem with a heuristic for my masterthesis.
Therefore I am using GPyOpt. The normal GP …
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Hi,
I see the example that can do Bayesian Optimization on external functions. The example is in this website:https://nbviewer.jupyter.org/github/SheffieldML/GPyOpt/blob/devel/manual/GPyOpt_external_…
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Hello,
I'm working on a project and I use scikit-optimize for Bayesian optimization. Since I'm running my code on my home and work computer I found that the `gp_minimize() `optimization yields (sl…
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I have defined specific ranges for each hyperparameter, and I want to find the best parameter for A2C or other algorithms. However, there can be numerous combinations, and how can I find the best para…
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**Describe the bug**
I noticed the next best guess from utility function does not match the real one.
**To Reproduce**
I used the same code as shown in the document https://bayesian-optimiz…
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* link to support ticket: [#2024082960001391](https://otrsdict.ugent.be/otrs/index.pl?Action=AgentTicketZoom;TicketID=166291)
* website: https://bayesian-optimization.github.io/BayesianOptimization/i…
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Hi pyGPs developers!
I'm using this library for Bayesian Optimisation and need to regularly update the training data by adding one row at a time. Each time, I need to recompute the posterior, which m…
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### Describe the problem
Tune is a very powerful hyper-parameter framework but, currently, involves an all or nothing commitment to ray for managing concurrency, scheduling and fault tolerance. I bel…
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Treating integer-valued parameters as floats can be sub-optimal for the maximization procedure. This is discussed in https://arxiv.org/abs/1706.03673, where the authors have shown that accounting for …
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Hi there,
I have been having an issue with searches easily going up and beyond a few tens of GB, which on my current setup becomes prohibitive when I have multiple projects, etc.
I was wondering if …