I am trying to learn linear regression using ordinary least squares and gradient descent from scratch.
I read the documentation for the Scikit learn function and I do not see a means to adjust the learning rate or the epoch with the
Is there a standard learning rate for the linear regression model?
Epochs I am assuming are determined by the change in the error function and are thus dependent on the dataset, with some predetermined maximum amount before convergence.
Are there any other good packages that have a linear regression model that I can test my own model against with adjustable learning rates and epochs?