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In the current model, the algorithm penalizes the \beta_0 argument on regularization, what we don't have to do in a theorecally point of view. So, it's necessary to separate internally this value to don't suffer this penalization with all the other values.
The text was updated successfully, but these errors were encountered:
ln 37 - 43, on sthocastic_gradient.jl.
In the current model, the algorithm penalizes the \beta_0 argument on regularization, what we don't have to do in a theorecally point of view. So, it's necessary to separate internally this value to don't suffer this penalization with all the other values.
The text was updated successfully, but these errors were encountered: