Python implementation of the R package `ircor`
Project description
pyircor
is the Python implementation of the R package ircor. ircor provides the implementation of various correlation coefficients of common use in Information Retrieval, such as Kendall and AP correlation coefficients, with and without ties. For this implementation, numba is used for the accelleration.
For reference please refer to Julián Urbano and Mónica Marrero, “The Treatment of Ties in AP Correlation”, ACM ICTIR, 2017.
Free software: MIT license
Documentation: https://pyircor.readthedocs.io.
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
Reference
@inproceedings{urbano2017ties, author = {Urbano, Juli{\'{a}}n and Marrero, M{\'{o}}nica}, booktitle = {ACM SIGIR International Conference on the Theory of Information Retrieval}, pages = {321--324}, title = {{The Treatment of Ties in AP Correlation}}, year = {2017} }
History
0.1.0 (2019-12-08)
First release on PyPI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pyircor-0.1.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1bf132374fa902f5803156d88639f61d3ec10f46c6f25a1e7f2c90794b2b0964 |
|
MD5 | b15fa33ea5364ddd23002fe004d754e8 |
|
BLAKE2b-256 | 0bd7155e3180ffd66ee6ece24cc0d4cb3074e299b8e24264a463344c9bf02233 |