ObtainCandidate

<p>vector containing an attribute of your dataframe</p>

Dado

<p><code>ObtainCandidate</code> Asks for a vector and returns a value along with the range it is contained in the attribute
Is used alongside other functions when generating a new sample</p>

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.

Rafael Pereira

AugmenterR

Data Augmentation for Machine Learning on Tabular Data

Rafael S. Pereira

Henrique Matheus ferreira da silva

Fabio A.M Porto

ObtainCandidate function

<code>ObtainCandidate</code> Asks for a vector and returns a value along with the range it is contained in the attribute
Is used alongside other functions when generating a new sample — ObtainCandidate

<code>ObtainCandidate</code> Asks for a vector and returns a value along with the range it is contained in the attribute
Is used alongside other functions when generating a new sample

ObtainCandidate: `ObtainCandidate` Asks for a vector and returns a value along with the range it is contained in the attribute Is used alongside other functions when generating a new sample

Description

Usage

Arguments

Value