Beginner · Fundamentals
Feature vector
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A feature vector is a numerical representation of an example, composed of its feature values, used as input for machine learning models.
Technical Definition
A feature vector is a numerical representation of an example, composed of its feature values, used as input for machine learning models.
How it works
A feature vector is an n-dimensional array of numbers that represents an instance or example for a machine learning model. Each element in the vector corresponds to a specific feature's value. For example, a picture might be represented by a feature vector containing pixel intensity values.
Related Concepts
- Feature Engineering — The process of creating, selecting, and transforming input variables to improve a machine learning model's performance.