Why Is Everyone at Kaggle Obsessed with Optuna For Hyperparameter Tuning?

https://towardsdatascience.com/why-is-everyone-at-kaggle-obsessed-with-optuna-for-hyperparameter-tuning-7608fdca337c

Why Is Everyone at Kaggle Obsessed with Optuna For Hyperparameter Tuning? | by Bex T. | Aug, 2021 | Towards Data Science
After importing optuna, we define an objective that returns the function we want to minimize.. In the body of the objective, we define the parameters to be optimized, in this case, simple x and y.The argument trial is a special Trial object of optuna, which does the optimization for each hyperparameter.. Among others, it has a suggest_float method that takes the name of the hyperparameter and …
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