https://github.com/thummeto/distributedhyperopt.jl
DistributedHyperOpt.jl is a package similar to HyperOpt.jl, but explicitly focusing on distributed (multi-processing) hyperparameter optimization by design.
https://github.com/thummeto/distributedhyperopt.jl
Last synced: 2 months ago
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DistributedHyperOpt.jl is a package similar to HyperOpt.jl, but explicitly focusing on distributed (multi-processing) hyperparameter optimization by design.
- Host: GitHub
- URL: https://github.com/thummeto/distributedhyperopt.jl
- Owner: ThummeTo
- License: mit
- Created: 2023-06-29T06:47:57.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-03-17T19:57:00.000Z (4 months ago)
- Last Synced: 2025-03-30T07:16:18.542Z (3 months ago)
- Language: Julia
- Homepage:
- Size: 59.6 KB
- Stars: 8
- Watchers: 2
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## What is DistributedHyperOpt.jl?
[*DistributedHyperOpt.jl*](https://github.com/ThummeTo/DistributedHyperOpt.jl) is a package similar to [*HyperOpt.jl*](https://github.com/baggepinnen/Hyperopt.jl), but explicitly focusing on distributed (multi-processing) hyperparameter optimization by design.[](https://github.com/ThummeTo/DistributedHyperOpt.jl/actions/workflows/TestLatest.yml)
[](https://github.com/ThummeTo/DistributedHyperOpt.jl/actions/workflows/TestLTS.yml)## How can I use DistributedHyperOpt.jl?
1\. Open a Julia-REPL, switch to package mode using `]`, activate your preferred environment.2\. Install [*DistributedHyperOpt.jl*](https://github.com/ThummeTo/DistributedHyperOpt.jl):
```julia-repl
(@v1.X) pkg> add "https://github.com/ThummeTo/DistributedHyperOpt.jl"
```3\. If you want to check that everything works correctly, you can run the tests bundled with [*DistributedHyperOpt.jl*](https://github.com/ThummeTo/DistributedHyperOpt.jl):
```julia-repl
(@v1.X) pkg> test DistributedHyperOpt
```4\. See the folder `examples` (or testing scripts) for examples.
## What is currently supported in DistributedHyperOpt.jl?
| | Max. processes |
|-----------------------------------|----------------|
| Random Sampler | unlimited |
| Hyperband (using Random Sampler) | num. brackets (`s_max+1`) |