Feature transformation is simply a function that transforms features from one representation to another. Feature transformation techniques are used for several reasons:
data types are not suitable to be fed into a machine learning algorithm, e.g. text, categories
feature values may cause problems during the learning process, e.g. data represented in different scales
we want to reduce the number of features to plot and visualize data, speed up training or improve the accuracy of a specific model
Fire Insights provides many feature transforming nodes through Spark ML, to find the full list and learn more about them go here: https://docs.sparkflows.io/en/latest/user-guide/machine-learning/sparkml/feature-transformation.html