# Regex Models and Empty Features

When labeling characters for training, after a labeled feature has been added, but before it has been given a character, it exists in a special "empty" state. As a special case, the regex model will always be able to match empty features, regardless of the character class or literal character used. This helps with work flows where you are using the model to be able to enter the ground truth for many features as one string.