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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

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DistributedHyperOpt.jl is a package similar to HyperOpt.jl, but explicitly focusing on distributed (multi-processing) hyperparameter optimization by design.

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## 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.

[![Test (latest)](https://github.com/ThummeTo/DistributedHyperOpt.jl/actions/workflows/TestLatest.yml/badge.svg)](https://github.com/ThummeTo/DistributedHyperOpt.jl/actions/workflows/TestLatest.yml)
[![Test (LTS)](https://github.com/ThummeTo/DistributedHyperOpt.jl/actions/workflows/TestLTS.yml/badge.svg)](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`) |