hyperparameter

Noun

Meaning

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

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

Examples

Note that each of the priors has a hyperparameter specifying the number of pseudo-observations, and in each case this controls the relative variance of that prior. Source: Internet

Since it has the form of a gamma pdf, this can easily be filled in, and one obtains: : Here the hyperparameter α can be interpreted as the number of prior observations, and β as the sum of the prior observations. Source: Internet

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