Bayesian search is most useful when every training run is expensive enough that random guessing becomes wasteful.
search_space = {
'hidden_size': [32, 64, 128],
'dropout': [0.1, 0.2, 0.3],
'lr': [1e-3, 5e-4]
}Dummy Post: Bayesian Tuning Summary for Sequence Models
By Aditya Mishra
A short dummy note to validate recommendation overlap with battery forecasting and hyperparameter search topics.