Imputers¶
This sub-module of the dataprocessing package collects all imputation transformers implemented here. Imputers are responsible for removing missing values from a dataset by replacing these missing values with some valid value. The difference between each imputer lies in how these valid values are computed before being used to replace a missing value. All the imputer methods from the dataprocessing package are based on the abstract class presented below, called DataImputer.
The following is a list of all imputers implemented in this module. All of the classes below inherit from the DataImputer class, and thus, have access to all of the methods previously shown.
Child Classes
Class Diagram