hyperparameter

A parameter of a prior (as distinguished from inferred parameters of the model for the underlying system under analysis).

Noun

  1. A parameter of a prior (as distinguished from inferred parameters of the model for the underlying system under analysis).
    • this model has four hyperparameters
    • The exact interpretation of these hyperparameters becomes clearer once you have seen their role in the posterior and, hence, we defer a deeper discussion of prior elicitation until the next section. - 2003, Gary Koop,...

    Synonyms: superparameter

    Coordinate Terms: metaparameter parameter subparameter

  2. A parameter whose value is set before the learning process begins.
    • The ideal learning algorithm just takes a dataset and outputs a function, without requiring hand tuning of hyperparameters. - 2016, Ian Goodfellow, Yoshua Bengio, Aaron Courville, chapter 11, in Deep Learning, MIT...
    • “Model behaviour is not determined by architecture, hyperparameters, or optimizer choices,” he said, referring to the technical difficulties of training a language model. “It’s determined by your dataset, nothing else....

    Coordinate Terms: metaparameter parameter subparameter

Origin

From hyper- + parameter.

Forms

hyperparameters

Related

hyperprior

Derived

hyperparametric