Current State of Hyperparameter Tuning?

Specific Domains Machine Learning
1

For people who work on machine learning, I’m trying to figure out what is the state of the art for packages/methods to do hyperparameter tuning. I see there is a package Hyperopt.jl, which has a lot of contributions but is currently no longer being developed (maintenance only), and there are some other options (like HyperTuning.jl) which seem a bit more niche. I imagine it may be possible to just call some of the more robustly developed python packages as well.

Is there anything big that I’m missing? What do people generally prefer?

Thanks in advance :slight_smile:

2

Within the MLJ.jl machine learning framework there are a number of hyperparameter tuning options. The package is quite mature and actively maintained.

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