Figure 1
Workflow of arfpy’s core functionalities.
Figure 2
Comparison of real and synthesized data.
arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests
By: Kristin Blesch and Marvin N. Wright
DOI: https://doi.org/10.5334/jors.492 | Journal eISSN: 2049-9647
Language: English
Submitted on: Nov 20, 2023
Accepted on: Apr 11, 2024
Published on: May 1, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2024 Kristin Blesch, Marvin N. Wright, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.