> Hyperparameter: an aspect of the algorithm, a dial which changes model production This seems a bit cryptic. The way I understand hyperparamters, they define

> Hyperparameter: an aspect of the algorithm, a dial which changes model production This seems a bit cryptic. The way I understand hyperparamters, they define how a model learns, i.e. you can set an alpha in gradient descent. Now when you compare them to "ordinary" parameters, hyperparamters do not define relationship between data and output.