Feature Selection¶
This sub-module of the dataprocessing package collects a set of transformers that remove a set of unimportant features from a dataset. The difference between each feature selection approach lies in how this importance metric is computed. All the feature selection methods from the dataprocessing package are based on the abstract class presented below, called FeatureSelection.
The following is a list of all feature selection methods implemented in this module. All of the classes below inherit from the FeatureSelection class, and thus, have access to all of the methods previously shown.
Child Classes
Class Diagram