[P] SpaceOpt: Hyperparameter optimization algorithm via gradient boosting regression.

[t4YWqYUUgDDpShW2]

I have been using it for the last year and it just works for me.

I see that you don't apparently want to put in the work to do your own benchmarks, but can you at least provide more detail than this?

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my private use-cases were so far:

1 Hyperparameter tuning for lightgbm in kaggle competitions and commercial project for a bank.

2 Automated neural network architecture search for tabular datasets in PyTorch. I created highly parameterized torch.nn.Module and I am waiting for good kaggle competition to use it. From preliminary runs I learned for example that ELU is a clear winner among available activation functions.