Hyperparameter - What is a hyperparameter in regression?

An example of a parameter whose value is predetermined before learning starts is a hyperparameter. Logistic regression's penalty and stochastic gradient descent's loss are two instances of hyperparameters. The constructor of the model classes in sklearn takes hyperparameters as an input.