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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 ](http://scikit-learn.org/stable/modules/cross_validation.html) Grid Search : [Link](http://scikit-learn.org/stable/modules/grid_search.html#exhaustive-grid-search)

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