SGD Classifier and Regressor (page 8 of 9)

We will use the SGDClassifier and SGDRegressor algorithms to implement stochastic gradient descent (SGD). These SGD algorithms are optimization techniques to converge to a solution. The loss function and penalty hyperparameters determine the machine learning algorithm that gets used in the training process. We can apply the SGD algorithms can be used for both classification and regression problems. The SGDClassifier is used to implement the SGD method for classification problems. The SGDRegressor is used to implement the SGD method for regression problems.