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Does the BicScore implemented in pgmpy minimize the negative log Likelihood function or maximize the
log Likelihood function? In other words: if I have two models with the scores -100 and -150, respectively.
Which model fits the data better?
Thanks in advance for your help :D
The text was updated successfully, but these errors were encountered:
Hey :)
Does the BicScore implemented in pgmpy minimize the negative log Likelihood function or maximize the
log Likelihood function? In other words: if I have two models with the scores -100 and -150, respectively.
Which model fits the data better?
Thanks in advance for your help :D
The text was updated successfully, but these errors were encountered: