testpreprocessors

(character) vector of preprocessors, by default gets all preprocessors with getpreprocessors()

preprocessors

(data frame) to be tested against, defaults to random data frame without missing values

data


Intended to be used when adding new preprocessing techniques with 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.

testpreprocessors: test preprocessing techniques against data

Description

Usage

Arguments

Examples