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I was studying the code of L1 regularization and I noticed that you use a norm with the maximum of the columns when it is applied to a matrix. I didn't understand why this, and I think that the subgradient and proximal is not suited to this type of norm.
Sorry if I said something wrong, I just didn't understand completely.
Thanks
The text was updated successfully, but these errors were encountered:
I was studying the code of L1 regularization and I noticed that you use a norm with the maximum of the columns when it is applied to a matrix. I didn't understand why this, and I think that the subgradient and proximal is not suited to this type of norm.
Sorry if I said something wrong, I just didn't understand completely.
Thanks
The text was updated successfully, but these errors were encountered: