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Hyperparameter optimization
Process of finding the optimal set of variables for a machine learning algorithm
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- Artificial Intelligence (1)
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POMDPPlanners (1) · Partially Observable Markov Decision Process (1) · Open-source Python package (1) · AI research tools (1) · Decision-making under uncertainty (1) · Risk-sensitive settings (1) · arXiv submission (1) · Hyperparameter optimization (1)
📖 Key Information
In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.
Hyperparameter optimization determines the set of hyperparameters that yields an optimal model which minimizes a predefined loss function on a given data set.
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