👉 Infitter is a type of data transformation algorithm that is used in machine learning and artificial intelligence to reduce the dimensionality of input features. It is often applied to categorical variables, where each category can be represented by an integer value. The goal of infitter is to map categories into continuous values or even a single output variable based on certain rules. Infitters are typically implemented using techniques such as one-hot encoding, which converts the original categorical data into binary vectors (one-hot encodings) that represent
