Hypothesis class

A binary hypothesis class is a family of functions from an input space to a two-element label set, commonly $\{-1,1\}$.

A classifier is a function that assigns an input to one of a discrete set of labels. A binary classifier has two possible labels.

The sign function records whether a real number is positive or negative, with a convention chosen separately at zero.