Solving a problem with machine learning algorithms is often a tedious process that requires many experiments before things start to work. The project aims to add to mlpack essential tools automating this process - tools to validate and tune hyper-parameters - to help you find one of the best configurations for a machine learning algorithm.

Organization

Student

Kirill Mishchenko

Mentors

  • Ryan Curtin
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2017