Classifiers are given a sequence of feature indices and their magnitudes and return a score for each label.
A classifier that has a featurizer that allows it to be applied directly to raw inputs.
A classifier that knows the actual descriptions of the labels and features, rather than just their indices.
A classifier that wraps a liblinear model and conforms to the Nak API.
Companion object to help with constructing Classifiers.