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Hyperparameter optimization in Julia.

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Thanks a lot for sharing! When I rewrite the method into an overall function like this ```julia function hypergalaop(arg_item, arg_optimize, arg_function, arg_label) global item = arg_item global algorithm = arg_optimize...

``` julia> @hyperopt for i=10, a=LinRange(1,10,10) a end ERROR: UndefVarError: a not defined Stacktrace: [1] macro expansion @ ./REPL[33]:2 [inlined] [2] var"#395###hyperopt_objective#281"(i::Int64, state::Float64) @ Main /julia/dev/Hyperopt.jl/src/Hyperopt.jl:152 ``` it's caused by...

This is another rather blue-sky thing, but I thought I would note it down. Often when I want to do hyper-parameter optimization I have multiple metrics I would like to...

Hi. Is there anyway to cite this package if we use it in something? It has definitely saved me some time :)

Is it necessary to replace Juno.progress() in code, maybe with ProgressMeter.jl or other more generic choices?

Hi, I know that I might be posing wrong questions all the time I create an issue. Even I accept that julia is a vibrant and fast-developing environment, I am...

It would be nice if could be able to use context variables, such as in: ```julia function run() settings = YAML.load(open("midi2midi_tuning.yml")) cps_list = settings["cps"] ho = Hyperopt.@hyperopt for i =...

Its long been my opinion (with little supporting evedance) that hyper-parameter optimization is just a special case of heuristic global optimization. The world that simulated anealling, particle swarm optimization, and...