Fast Krippendorff
Fast computation of Krippendorff's alpha agreement measure.
Based on Thomas Grill implementation.
Example usage
Given a reliability data matrix, run:
import krippendorff
krippendorff.alpha(reliability_data=...)
See example.py and alpha's docstring for more details.
Installation
pip install krippendorff
Caveats
The implementation is fast as it doesn't do a nested loop for the coders. However, V should be small, since a VxV matrix it's used.
Citing
If you use this code in your research, please cite Fast Krippendorff:
@misc{castro-2017-fast-krippendorff,
author = {Santiago Castro},
title = {Fast {K}rippendorff: Fast computation of {K}rippendorff's alpha agreement measure},
year = {2017},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/pln-fing-udelar/fast-krippendorff}}
}
Metadata
Release files for krippendorff 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| krippendorff-0.9.0.tar.gz | 18.7 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| krippendorff-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.7 kB
Release files / krippendorff-0.9.0.tar.gz
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Release files / krippendorff-0.9.0-py3-none-any.whl
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| Tags | Python 3 |
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