Cross Validation and hyperparameter optimization

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I recently started using the machine learning library of opencv .

I implemented the Random forest algorithm using it. Now I want to do cross validation and hyper-parameter optimization using Grid Search.

I tried to search in the docs but couldn't find any method for that.
Has it been implemented or I have to do custom implementation.

Cross validation : Link

Grid Search : Link