initializedataclassobject

data


initializedataclassobject() is a constructor function for creating a DataClass object. The main
use case is adding of new preprocessing techniques to the framework by the user. Added preprocessing
techniques (i.e. functions) take as input and must return a DataClass object. See setpreprocessor().


Preprocessing is often the most time-consuming phase in data analysis
and preprocessing transformations interdependent in unexpected
ways. This package helps to make preprocessing faster and more effective. It
provides an S4 framework for creating and evaluating preprocessing combinations
for classification, clustering and outlier detection. The framework supports
adding of user-defined preprocessors and preprocessing phases. Default preprocessors
can be used for low variance removal, missing value imputation, scaling, outlier
removal, noise smoothing, feature selection and class imbalance correction.

initializedataclassobject: constructor function for creating a DataClass object

Description

Usage

Arguments

Details

Examples