DeltaPy: A Framework for Tabular Data Augmentation in Python

Snow, Derek

doi:10.2139/ssrn.3582219

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DeltaPy: A Framework for Tabular Data Augmentation in Python

3 Pages Posted: 19 May 2020

See all articles by Derek Snow

Derek Snow

New York University (NYU) - Finance and Risk Engineering Department; The Alan Turing Institute; University of Oxford - Oxford-Man Institute of Quantitative Finance

Date Written: April 22, 2020

Abstract

A range of data abstractions have come to the fore since the re-emergence of machine learning. This includes procedures like feature engineering, extraction, transformation, and selection, as well as data pre-processing, generation, synthesisation, and augmentation. This report attempts to unify some of this terminology with the development of a bare-bones Python package, DeltaPy.

Keywords: Tabular Data, Augmentation Methods, Machine Learning, Data Science, Feature Engineering, Synthetic Data, Colab Notebook

JEL Classification: C02, C13, C21, C38, C53, C87

Suggested Citation: Suggested Citation

Snow, Derek, DeltaPy: A Framework for Tabular Data Augmentation in Python (April 22, 2020). Available at SSRN: https://ssrn.com/abstract=3582219 or http://dx.doi.org/10.2139/ssrn.3582219