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 1.0.0

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 1.0.0
File	Size	Uploaded
symphony_fairvis-1.0.0.tar.gz	2.1 MB	Aug 3, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for symphony-fairvis 1.0.0
File	Interpreter	ABI	Platform	Reset
symphony_fairvis-1.0.0-py2.py3-none-any.whl 2.6 MB Aug 3, 2023	Python 3, Python 2	none	any	Details

Total release size: 4.6 MB

Release files / symphony_fairvis-1.0.0.tar.gz

Download URL	symphony_fairvis-1.0.0.tar.gz
Size	2.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`1e260b78cafdb87ed896edd2c6dce5e68ef0dd1d386dafa9d5f7c9c568b4c244`
BLAKE2b-256 checksum How to use checksums	`d019c114d60671d3cdcef4e35562cd8a1ba57ca560f1c20bdc2b05a35f153c63`
Upload date	Aug 3, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.4`

Release files / symphony_fairvis-1.0.0-py2.py3-none-any.whl

Download URL	symphony_fairvis-1.0.0-py2.py3-none-any.whl
Size	2.6 MB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`8e70a3bbfff3178d8f882840e485f87e58f92955dcc78abd5ba0f0674084eaac`
BLAKE2b-256 checksum How to use checksums	`f8ba367bacd2fe203ecd27a7c3eabda7639109a9ae0f0b7451ecbee9584f8d6d`
Upload date	Aug 3, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.4`