Bayesian Analysis with Python

Discriminative and generative models

So far we have discussed logistic regression and a few extensions of it. In all cases, we tried to directly compute p( | ), that is, the probability of a given class knowing , which is some feature we measured to members of that class. In other words, we try to directly model the mapping from the independent variables to the dependent ones and then use a threshold to turn the (continuous) computed probability into ...