The third classifier we will cover is the MaxentClassifier class, also known as a conditional exponential classifier or logistic regression classifier. The maximum entropy classifier converts labeled feature sets to vectors using encoding. This encoded vector is then used to calculate weights for each feature that can then be combined to determine the most likely label for a feature set. For more details on the math behind this, see https://en.wikipedia.org/wiki/Maximum_entropy_classifier.