What is Raw Inputs in Machine Learning

Features don’t appear out of thin air – they are usually constructed using various transformations on raw data, that was either part of a data-set or received at runtime from a user.

We refer to that raw data as the raw_inputs of a model.

For example, your dataset might contain a column with state names – you will then have some preprocessing code convert that raw_input to a feature using one-hot encoding.