Model parameter

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In machine learning, the term model parameter or parameter is used for initially unknown numerical values that are part of a general functional form used to predict outputs from inputs. For a specific choice of the value of each parameter, we get a specific function that predicts outputs from inputs. The goal of machine learning problems is to determine a good choice of the set of parameter values to be able to predict the outputs well from the inputs.

Related notions

  • Model hyperparameter is used for a (typically discrete) parameter that selects between different choices of model.