Generate

data

<p>if we are to generate data for regression or classification (will the data be conditioned on a certain class)</p>

regression

<p><code>Generate</code> Asks for a dataframe and generates a new sample
returns novel sample along with intervals it contained to revalidate it using confidence levels</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

Generate function

<code>Generate</code> Asks for a dataframe and generates a new sample
returns novel sample along with intervals it contained to revalidate it using confidence levels — Generate

<code>Generate</code> Asks for a dataframe and generates a new sample
returns novel sample along with intervals it contained to revalidate it using confidence levels

Generate: `Generate` Asks for a dataframe and generates a new sample returns novel sample along with intervals it contained to revalidate it using confidence levels

Description

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