The hyperparameter
Example: Hyperparameter controls model behavior during training and optimization
Definition
"The hyperparameter" refers to a parameter set before the learning process begins in machine learning models, which controls model behavior during training and optimization without being updated by the model itself.
Etymology
The term "hyperparameter" combines 'hyper-', meaning 'over' or 'beyond', with 'parameter', indicating a variable that defines a system. It was coined in the context of machine learning to distinguish fixed configurations from parameters learned during training.
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"The hyperparameter" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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