Hyperparameters
nounid
4924·updated May 18, 2026verified
the parameters that are used to either configure a ML model (e.g., the penalty parameter C in a support vector machine, and the learning rate to train a neural network) or to specify the algorithm used to minimize the loss function (e.g., the activation function and optimizer types in a neural network, and the kernel type in a support vector machine).
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Data72%llm-generatedllm:claude-haiku-4-5
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Ip65%llm-generatedllm:claude-haiku-4-5
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- possessive
- Hyperparameters's
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- Hyperparameterses'
Framework definitions
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice1 senseview framework →
- §1
- the parameters that are used to either configure a ML model (e.g., the penalty parameter C in a support vector machine, and the learning rate to train a neural network) or to specify the algorithm used to minimize the loss function (e.g., the activation function and optimizer types in a neural network, and the kernel type in a support vector machine).
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