I find this project quite interesting because sklearn has a good general design including data transformations and it does make sense to provide compatible func

I find this project quite interesting because sklearn has a good general design including data transformations and it does make sense to provide compatible functionality for Go. Feature engineering in general is a hot topic and especially if features are not simple hard-coded transformations but rather can be learned from data. For example, I developed a toolkit intended for combining feature engineering and ML: https://github.com/asavinov/lambdo https://github.com/asavinov/lambdo - Feature engineering and machine learning: together at last! (Currently, it is not actively developed and the focus is moved to a similar project - https://github.com/asavinov/prosto https://github.com/asavinov/prosto - also aimed at data preprocessing and feature engineering)