Python Machine Learning Cookbook - Second Edition

Getting ready

Let's say we are dealing with four-dimensional feature vectors. To encode the nth feature in a feature vector, the encoder will go through the nth feature in each feature vector and count the number of distinct values. If the number of distinct values is k, it will transform the feature into a k-dimensional vector where only one value is 1 and all other values are 0. Let's take a simple example to understand how this works.