Model parameter

Definition

In machine learning, the term 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

• Hyperparameter is a constant that controls the learning algorithm itself. The choice of hyperparameter affects how quickly the algorithm finds the parameters, and might also affect the choices of parameter values themselves.