apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters

10 Mar 2015 Frederik Diehl Andreas Jauch

The apsis toolkit presented in this paper provides a flexible framework for hyperparameter optimization and includes both random search and a bayesian optimizer. It is implemented in Python and its architecture features adaptability to any desired machine learning code... (read more)

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METHOD TYPE
Random Search
Hyperparameter Search