How to make tuning of hyperparameters using Hyperopt for XGBoost in Python multiclass classification to maximize Recall?

Question

I have one simple question: How to make tuning of hyperparameters using Hyperopt in Python Xgboost to maximize recall on test dataset for multiclass classification problem?

I do not see any examples on the internet, maybe you have?