preprodefault


Totals 3200 combinations. preprodefault object can be used as default phases for setgrid().


datasets

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.

Markus Vattulainen

preprocomb

Tools for Preprocessing Combinations

preprodefault function

An object of class <code>character</code> of length 7.

preprodefault: seven default phases with preprocessing techniques

Description

Usage

Arguments

Format

Examples