Cross Validation and hyperparameter optimization

asked 2016-10-20 08:02:52 -0500

supertramp-sid gravatar image

updated 2019-12-09 08:09:11 -0500

Akhil Patel gravatar image

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

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only SVM supports grid search atm.

berak gravatar imageberak ( 2016-10-20 08:26:57 -0500 )edit