A package implements Quantitative Input Influence method
Project description
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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file qii_tool-0.1.3-py3-none-any.whl.
File metadata
- Download URL: qii_tool-0.1.3-py3-none-any.whl
- Upload date:
- Size: 6.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.7.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.7.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5dbc7c3bfcd8af860a6acd19427998e42da2c905cc5e36748e7e15b921a4f00
|
|
| MD5 |
39e8a16332185924f8ebb83b0d2376b3
|
|
| BLAKE2b-256 |
f03078db1652ea9974b8113cf0b538ad9979f00fea27d82b1caf5b14788d66f4
|
