SymphonyFairVis

A component that can compare subgroups of data across different metrics, originally introduced to address machine learning fairness problems. The component is based on the ClassificationSpec, but requires as additional arguments:

prediction_column
label_column

Metadata

Release files for symphony-fairvis 1.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for symphony-fairvis 1.0.1
File	Size	Uploaded
symphony_fairvis-1.0.1.tar.gz	6.1 MB	Aug 4, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for symphony-fairvis 1.0.1
File	Interpreter	ABI	Platform	Reset
symphony_fairvis-1.0.1-py2.py3-none-any.whl 10.9 MB Aug 4, 2023	Python 3, Python 2	none	any	Details

Total release size: 17.0 MB

Release files / symphony_fairvis-1.0.1.tar.gz

Download URL	symphony_fairvis-1.0.1.tar.gz
Size	6.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`48ecea3707d3ec7b6f7742495e5458ee5e2fd046d1279ed830e7569ec31479f9`
BLAKE2b-256 checksum How to use checksums	`1a9c6f285ee1f691c9e2ac1e953ebeffc007f83f3a30751bed11041746cf1b85`
Upload date	Aug 4, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.4`

Release files / symphony_fairvis-1.0.1-py2.py3-none-any.whl

Download URL	symphony_fairvis-1.0.1-py2.py3-none-any.whl
Size	10.9 MB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`0594b504d735a989633ae6746f74a1495da5fc77a949d2a79e12b1de9129ad54`
BLAKE2b-256 checksum How to use checksums	`d41f8c69b1db1c8c0993cbfd1b14bba24a276d70c3e410df3eafef7069b04832`
Upload date	Aug 4, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.4`