🔬 dnn-inf: significance tests of feature relevance for a black-box model
dnn-inference is a Python module for hypothesis testing based on black-box models, including deep neural networks.
GitHub repo: https://github.com/statmlben/dnn-inference
Documentation: https://dnn-inference.readthedocs.io
Open Source: MIT license
Paper: arXiv:2103.04985
Installation
Dependencies
dnn-inference requires: Python>=3.8 + requirements.txt
pip install -r requirements.txtUser installation
Install dnn-inference using pip
pip install dnn_inference
pip install git+https://github.com/statmlben/dnn-inference.gitReference
If you use this code please star the repository and cite the following paper:
@misc{dai2021significance,
title={Significance tests of feature relevance for a blackbox learner},
author={Ben Dai and Xiaotong Shen and Wei Pan},
year={2021},
eprint={2103.04985},
archivePrefix={arXiv},
primaryClass={stat.ML}
}Notebook
1 maintainer
Metadata
1 maintainer
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