During the eighth week I was finishing working on the hyper-parameter tuning module. Some minor changes still should be added, but basically it is done. Since the pull request on the simple cross-validation strategy is not merged yet, I need to wait before sending a pull request for the hyper-parameter tuning module. By now it is available in my fork of mlpack. The same goes for k-fold cross-validation.
The main part of my GSoC plan is almost done, so I'm going to work on some optional parts. For the nearest time it will be additional metrics for the cross-validation and hyper-parameter tuning modules like precision, recall and F1.
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