A Python implementation of the "Controlling the False Discovery Rate via Knockoffs" paper from 2015, designed to provide tools for generating knockoff features and applying controlled variable selection techniques in high-dimensional data settings.
DEPRECATED: This package has been renamed to 'nonconform'. Please install 'nonconform' instead with `pip install nonconform`. Conformal Anomaly Detection