# \[ANN\] Hyperopt.jl v0.5.0

**URL:** <https://discourse.julialang.org/t/ann-hyperopt-jl-v0-5-0/65984>\
**Category:** Package Announcements\
**Tags:** optimization\
**Created:** [August 7, 2021, 9:13am UTC](https://discourse.julialang.org/t/ann-hyperopt-jl-v0-5-0/65984 "2021-08-07T09:13:22Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![baggepinnen](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/baggepinnen/32/693_2.png) [@baggepinnen](https://discourse.julialang.org/u/baggepinnen)\
**Post date:** [August 7, 2021, 9:13am UTC](https://discourse.julialang.org/t/ann-hyperopt-jl-v0-5-0/65984/1 "2021-08-07T09:13:22Z")

</div>

[Hyperopt.jl](https://github.com/baggepinnen/Hyperopt.jl) v0.5.0 has just been tagged. It is a breaking release, affecting primarily the `GPSampler` which has been removed ([motivation](https://discourse.julialang.org/t/how-do-use-hyperopt-jls-bayesian-hyperparameter-optimization-feature/64447/3)).  
Breaking changes are listed in the [release notes](https://github.com/baggepinnen/Hyperopt.jl/releases/tag/v0.5.0).

The new release also brings some new **features** 🙂

- New sampler `BOHB` curtesy of @noil-reed . See the [docs](https://github.com/baggepinnen/Hyperopt.jl#bohb).
- `hyperband` now has an [interface](https://github.com/baggepinnen/Hyperopt.jl#function--vector-interface) that takes a function and a vector.
- New function `hyperoptim` performing multi-start optimization with Optim and Hyperband. The interface is similar to that of `Optim.optimize`, but the initial guess is replaced by a vector of candidate vectors. This function is only available after `using Optim`.
- New function `warn_on_boundary`: Prints a warning message for each parameter where the optimum was obtained on an extreme point of the sampled space.

@mohamed82008 has also implemented support for Hyperopt.jl in the package [Nonconvex.jl](https://github.com/mohamed82008/Nonconvex.jl/). See [docs](https://mohamed82008.github.io/Nonconvex.jl/stable/algorithms/hyperopt/) and [juliacon 2021 video](https://www.youtube.com/watch?v=eQ9qpsO5OBM).

Happy hyperoptimizing, may you all forver find global optima! 🎊