Hi everyone, I have a simple questions in regards to how LassoCV works. In the documentation it states that the best model is selected via cross-validation, however I'm wondering how is this best model constructed.
Is it simply running a normal lasso fit with all of the training data available using the optimal alpha? And are these the parameters stored in .coef_? Regards, Erik
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