That is, we model the logarithm of the probability of seeing a given output using the linear predictor as well as an additional normalization factor, the logarithm of the partition function:
In other words, we model the logarithm of the likelihood of observing a specific output by utilizing both the linear predictor and an extra factor, the logarithm of the partition function: