CRAN/E | AugmenterR

AugmenterR

Data Augmentation for Machine Learning on Tabular Data

Installation

About

Implementation of a data augmentation technique based on conditional entropy It was devised by both authors during their masters and is discussed in detail in the second author dissertation. It is able to create novel samples conditioned on a desired value of a categorical attribute, as a way to augment data for classification tasks Tests discussed in the dissertation and future paper present that the technique satisfies several statistical assumptions for the novel samples. It also shows significant improvement for machine learning models trained on small data.

Key Metrics

Version 0.1.0
Published 2021-03-18 1124 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Rafael S. Pereira

r.s.p.models@gmail.com

Authors

Rafael S. Pereira

aut / cre / cph

Henrique Matheus ferreira da silva

aut / cph

Fabio A.M Porto

aut / ths / cph

Material

Reference manual
Package source

Vignettes

AugmenterR

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Suggests

knitr
ggplot2
markdown