Description:
precisionrecallgain 0.1.1
Precision-recall-gain curves for Python
Free software: MIT license
Installation
pip install precision-recall-gain
You can also install the in-development version with:
pip install https://github.com/crypdick/precision-recall-gain/archive/master.zip
Documentation
https://precision-recall-gain.readthedocs.io/
Development
To run all the tests run:
tox
Note, to combine the coverage data from all the tox environments run:
Windows
set PYTEST_ADDOPTS=--cov-append
tox
Other
PYTEST_ADDOPTS=--cov-append tox
References
[Precision-Recall-Gain Curves: PR Analysis Done Right (2015) by Peter A. Flach and Meelis Kull](https://papers.nips.cc/paper/2015/file/33e8075e9970de0cfea955afd4644bb2-Paper.pdf)
[sklearn-compatible implementation](https://github.com/scikit-learn/scikit-learn/pull/24121) by [Bradley Fowler](https://github.com/bradleyfowler123)
[PRG curves](https://www.biostat.wisc.edu/~page/rocprg.pdf) by [David Page](https://www.biostat.wisc.edu/~page/)
[Blog post by Bradley Fowler](https://snorkel.ai/improving-upon-precision-recall-and-f1-with-gain-metrics/)
[Original implementation](https://github.com/meeliskull/prg) by [Meelis Kull](https://github.com/meeliskull)
Changelog
0.0.0 (2021-03-20)
First release on PyPI.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
