Question

name a device that has one hot encoded input

Answer 1

one hot encoding is often used in machine learning and datascience to convert categorical variables into numerical variables

Example: Suppose you have ‘fruit’ feature which can take values ‘grape’, ‘orange’, and ‘apple’. One hot encoding converts ‘flower’ feature to three features, ‘is_grape’, ‘is_orange’, and ‘is_apple’ which all are binary

we usually use one hot encoder to perform “binarization” of the category and include it as a feature to train the model in machine learning

the device which has one hot encoded input is encoders and priority encoders