The flowchart outlines the sequence of three neural networks comprising FLAME. The input training data to the classification algorithm is the normalized flux with 301 array size labeled as 1 or 2 absorption lines. The same input data is then fed to different regression algorithms based on the number of absorption lines. For this algorithm, the labels with the input dataset are the physical parameters like column density and Doppler width.