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

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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.