Hi guys, I was looking at this: http://doc.madlib.net/latest/group__grp__elasticnet.html and noticed that the log_likelihood is defined as the *negative* value of the L(w) defined in the equation.
Any reason why you've included the negative sign? I was a little confused as i assumed the log_likelihood reported was actually the value of L(w) (the lower the better since we are minimizing L(w) for w), but then noticed while doing a grid-search on the alpha and lambdas my best performing models had log_likelihood values < 0 but close to zero. The values which had higher magnitude (negative sign again) performed poorly. Just wondering what's the need to multiply the log_likelihood by -1, why not report raw values and let user pick the w with lowest L(w) ? Please clarify if i have misunderstood. Thanks Vatsan
