Machine Learning with Swift

Types of features

In the books example, you can see several types of features:

• Categorical or unordered: Title, author, genre, publisher. They are similar to enumeration without raw values in Swift, but with one difference: they have levels instead of cases. Important: you can't order them or say that one is bigger than another.
• Binary: The presence or absence of something, just true or false. In our case, the In stock feature.
• Real numbers: Page count, year, average reader's review score. These can be represented as float or double.

There are others, but these are by far the most common.

The most common ML algorithms require the dataset to consist of a number of samples, where each sample is represented by a vector of real numbers (feature ...