Gradient Boosted - Deep Neural Network Regression.
GB-DNNR is the Python library for working with Gradient Boosted - Deep Neural Network Regression (GB-DNNR).
- If you use this package, please cite.
- If you employ GB-DNNR in your research paper, please cite our work by citing the following references.
@article{10415168,
author = {Emami, Seyedsaman and Martínez-Muñoz, Gonzalo},
journal = {IEEE Access},
title = {Deep Learning for Multi-Output Regression Using Gradient Boosting},
year = {2024},
volume = {12},
pages = {17760-17772},
doi = {10.1109/ACCESS.2024.3359115}
}
- An alternative method is to utilize the provided bib file for referencing our work.
This package takes advantage of the following libraries (Python 3.x):
- Numpy
- TensorFlow 2.13.0
- Keras
Gradient Boosting, Deep Neural Network, Multi-output regression
The package is licensed under the GNU Lesser General Public License v2.1.
For more information, examples, etc, please refer to the Wiki.
Our latest algorithm is available on the main branch of the repository.
Contributions to the GB-DNNR project are welcome. Feel free to fork the repository, make changes, and submit pull requests.
21.12.2023
21.12.2023
0.0.1