preprocomb: Tools for Preprocessing Combinations

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.

Install the latest version of this package by entering the following in R:
install.packages("preprocomb")
AuthorMarkus Vattulainen
Date of publication2016-06-26 09:05:54
MaintainerMarkus Vattulainen <markus.vattulainen@gmail.com>
LicenseGPL-2
Version0.3.0
https://github.com/mvattulainen/preprocomb

View on CRAN

Functions

exampleresult Man page
getpreprocessor Man page
getprogrammaticprediction Man page
GridClass-class Man page
initializedataclassobject Man page
prepro Man page
PreprocessorClass-class Man page
preprocessordefinitionstorage Man page
preprocomb Man page
PreProCombClass-class Man page
preprodefault Man page
setgrid Man page
setphase Man page
setpreprocessor Man page
showrules Man page
testpreprocessors Man page
transformdata Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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