GenoLearn Feature Importance

After executing the train command, it may be of interest to examine which genome sequences are important as determined by the trained Machine Learning model. Upon executing the feature-importance command, the user is prompted to select a subdirectory in the train directory within their working directory. A new subdirectory importance is generated containing two files. The csv file contains the genome sequences ranked from most important to least important. The npz file contains more information including the actual feature importance scores for each genome sequence. To access the npz file the user must run in Python

import numpy as np

# object is similar to a dictionary
npz = np.load('path/to/file.npz')

# print the keys ('features', 'ranks', 'scores')
print(list(npz))

# access the scores array
print(npz['scores'])