importances

Features.importances(target_num=0, sort=True)

Returns the data for the feature importances, as displayed in the getML monitor.

Args:

target_num (int):

Indicates for which target you want to view the importances. (Pipelines can have more than one target.)

sort (bool):

Whether you want the results to be sorted.

Return:

(numpy.ndarray, numpy.ndarray):

• The first array contains the names of the features.

• The second array contains their importances. By definition, all importances add up to 1.