setgrid

phases

data

(logical) run testpreprocessor(), defaults to TRUE

diagnostics


setgrid takes the preprocessing phases, which contain preprocessors and creates
the combinations of them as a grid. It then computes and stores the transformed
data sets for each combination. setgrid initializes a GridClass object.


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.

setgrid: constructor function for creating the combinations

Description

Usage

Arguments

Value

Details

Examples