GridClass-class


Preprocessing techniques defined with setpreprocessor() can be combined to a phase.
Phases defined with setphase() can be combined to a grid of combinations with setgrid().
The main programmatic use with preprocomb() takes a GridClass object as argument.


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

GridClass-class function

 <dl>
<dt><code>grid</code></dt><dd>(data frame) preprocessor combinations</dd> <dt><code>data</code></dt><dd>(list) DataClass objects</dd> <dt><code>validation</code></dt><dd>(data frame) validation results</dd> </dl>

GridClass-class: container for preprocessor combinations and preprocessed data sets.

Description

Arguments

Slots

Details