Currently I have been trying to find some good algorithms for feature selection. Using correlation or other non casual type of method will not be the right way to do a feature selection. I'm am searching for aglorithms in python or libraries that use casual effects for feature selection. Currently there are only for binary outcomes, I'm searching for a regression problem so it must be continuous.
"Causality-Guided Feature Selection"