Hyperparameter

Quick meaning: Hyperparameter is a noun meaning (machine learning) A parameter whose value is set before the learning process begins.

Meaning

(machine learning) A parameter whose value is set before the learning process begins.

More Meanings

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

Example Sentences

this model has four hyperparameters

The ideal learning algorithm just takes a dataset and outputs a function, without requiring hand tuning of 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.

“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. […]”

Word Forms

• hyperparameters

Synonyms for hyperparameter

Depending on context, synonyms include superparameter.

Related Words

Related dictionary entries include superparameter, superparameterization, metaparameter, param, hyperdistribution, parameter.

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