Hi,
In most Textbook examples of Rigge/Lasso Regression input variables are
numeric. In practice, how should I deal with nominal inputs? For each
nominal input I would have n-1 coefficients (with n being the number of
categories). But does it make sense to shrink nominal factors?
Thanks in advance,
Lars.
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