# Gamma GLM predicting the second parameter of the Gamma

The gamma distribution has two parameters, I understand that the linear predictor predicts $\mu = g^{-1}(X\beta)$ where $g$ is the link function but how does the linear predictor specify the second parameter of the gamma distribution?