Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

SCIPY 2013 2013 James BergstraDan YaminsDavid D. Cox

Sequential model-based optimization (also known as Bayesian optimization) is one of the most efficient methods (per function evaluation) of function minimization. This efficiency makes it appropriate for optimizing the hyperparameters of machine learning algorithms that are slow to train... (read more)

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