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CS 725 (2020) Programming Assignment 1 (Linear Regression)
The assignment description mentions that scaling features can help in gradient descent solution. But what about scaling the target values? If all features and targets lie in a similar range, won't that be better?
do_evaluation should use regularized loss function when evaluation loss for analytical solution rather it is using mse_loss.
I think C should be passed to do_evaluation and inside loss_fn should be called rather than mse_loss.
am I missing something ? please clarify.
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