https://github.com/crypdick/precision-recall-gain
Precision-recall-gain for Python
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.6%) to scientific vocabulary
Keywords
classification
machine-learning
metrics
precision
recall
Last synced: 5 months ago
·
JSON representation
Repository
Precision-recall-gain for Python
Basic Info
- Host: GitHub
- Owner: crypdick
- License: mit
- Language: Python
- Default Branch: master
- Homepage: https://precision-recall-gain.readthedocs.io/en/latest/
- Size: 127 KB
Statistics
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 2
- Releases: 1
Topics
classification
machine-learning
metrics
precision
recall
Created almost 5 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
Changelog
Contributing
License
Authors
README.rst
========
Overview
========
.. start-badges
.. list-table::
:stub-columns: 1
* - docs
- |docs|
* - tests
- | |github-actions|
| |coveralls| |codecov|
| |scrutinizer|
* - package
- | |version| |wheel| |supported-versions| |supported-implementations|
| |commits-since|
.. |docs| image:: https://readthedocs.org/projects/precision-recall-gain/badge/?style=flat
:target: https://precision-recall-gain.readthedocs.io/
:alt: Documentation Status
.. |github-actions| image:: https://github.com/crypdick/precision-recall-gain/actions/workflows/github-actions.yml/badge.svg
:alt: GitHub Actions Build Status
:target: https://github.com/crypdick/precision-recall-gain/actions
.. |coveralls| image:: https://coveralls.io/repos/github/crypdick/precision-recall-gain/badge.svg?branch=master
:alt: Coverage Status
:target: https://coveralls.io/github/crypdick/precision-recall-gain?branch=master
.. |codecov| image:: https://codecov.io/gh/crypdick/precision-recall-gain/branch/master/graphs/badge.svg?branch=master
:alt: Coverage Status
:target: https://app.codecov.io/github/crypdick/precision-recall-gain
.. |version| image:: https://img.shields.io/pypi/v/precision-recall-gain.svg
:alt: PyPI Package latest release
:target: https://pypi.org/project/precision-recall-gain
.. |wheel| image:: https://img.shields.io/pypi/wheel/precision-recall-gain.svg
:alt: PyPI Wheel
:target: https://pypi.org/project/precision-recall-gain
.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/precision-recall-gain.svg
:alt: Supported versions
:target: https://pypi.org/project/precision-recall-gain
.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/precision-recall-gain.svg
:alt: Supported implementations
:target: https://pypi.org/project/precision-recall-gain
.. |commits-since| image:: https://img.shields.io/github/commits-since/crypdick/precision-recall-gain/v0.1.3.svg
:alt: Commits since latest release
:target: https://github.com/crypdick/precision-recall-gain/compare/v0.1.3...master
.. |scrutinizer| image:: https://img.shields.io/scrutinizer/quality/g/crypdick/precision-recall-gain/master.svg
:alt: Scrutinizer Status
:target: https://scrutinizer-ci.com/g/crypdick/precision-recall-gain/
.. end-badges
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:
.. list-table::
:widths: 10 90
:stub-columns: 1
- - 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)
* [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)
Owner
- Name: Richard Decal
- Login: crypdick
- Kind: user
- Location: USA
- Company: Dendra.io
- Website: www.RichardDecal.com
- Twitter: bae_theorem
- Repositories: 144
- Profile: https://github.com/crypdick
Lead ML Engineer at Dendra, planting a trillion trees with drones + ML
GitHub Events
Total
- Issues event: 1
- Watch event: 2
- Issue comment event: 3
Last Year
- Issues event: 1
- Watch event: 2
- Issue comment event: 3
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Richard Decal | p****c@r****m | 34 |
| Richard Decal | r****l@n****u | 13 |
Committer Domains (Top 20 + Academic)
ncf.edu: 1
richarddecal.com: 1
Issues and Pull Requests
Last synced: 7 months ago
Packages
- Total packages: 1
-
Total downloads:
- pypi 6 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 3
- Total maintainers: 1
pypi.org: precision-recall-gain
Precision-recall-gain curves for Python
- Homepage: https://github.com/crypdick/precision-recall-gain
- Documentation: https://precision-recall-gain.readthedocs.io/
- License: MIT
-
Latest release: 0.1.1
published about 2 years ago
Rankings
Dependent packages count: 10.1%
Dependent repos count: 21.6%
Average: 32.9%
Downloads: 66.9%
Maintainers (1)
Last synced:
7 months ago
Dependencies
.github/workflows/github-actions.yml
actions
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- codecov/codecov-action v3 composite
- coverallsapp/github-action v2 composite
- docker/setup-qemu-action v2 composite
ci/requirements.txt
pypi
- pip >=19.1.1
- setuptools >=18.0.1
- six >=1.14.0
- tox *
- twine *
- virtualenv >=16.6.0
docs/requirements.txt
pypi
- sphinx >=1.3
- sphinx-rtd-theme *
pyproject.toml
pypi
setup.py
pypi
- scikit-learn >=1.1