Quantitative Input Influence - an influence measures for Algorithmic Transparency
The qii_tool package is an implementation of the QII method proposed in the paper "Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems". The original paper discusses the transparency-privacy tradeoff, whereas this particular package only exploits its transparency aspect to be used as an influence measures - an instance of interpretable machine learning.
Install qii_tool on your system using:
pip install qii_tool
Examples can be found in this repository.
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Release files for qii-tool 0.1.3
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| File | Interpreter | ABI | Platform | Reset |
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| qii_tool-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Release files / qii_tool-0.1.3-py3-none-any.whl
| Download URL | qii_tool-0.1.3-py3-none-any.whl |
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| Size | 6.9 kB |
| Tags | Python 3 |
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