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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.