Dnn-Inference is a Python module for hypothesis testing based on deep neural networks.
Project description
Dnn-Inference
Dnn-Inference is a Python module for hypothesis testing based on deep neural networks.
Website: https://dnn-inference.readthedocs.io
Three-lines-of-code
Reference
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}
}
Installation
Dependencies
Deep-Inference requires:
Python
Numpy
Keras
Tensorflow>=2.0
sklearn
SciPy
User installation
Install Deep-Inference using pip
pip install dnn-inference
or
pip install git+https://github.com/statmlben/dnn-inference.git
Source code
You can check the latest sources with the command:
git clone https://github.com/statmlben/dnn-inference.git
Project details
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