Trustworthy AI Utilities for Python

This package has been tested with Python 3.7, 3.8, 3.9, 3.10 and 3.11

The Trustworthy AI Utilities package contains common functions shared across various TAI tools, including fairlearn, interpret-community, trustworthyai, affectlog_widgets and other packages, as well as notebook examples.

Please see the main documentation website: https://trustworthyaitoolbox.ai/

The open source code can be found here: https://github.com/affectlog/trustworthy-ai-widgets

Metadata

Release files for affectlog-utils 0.4.4

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

Source distribution (sdist)

Source distribution for affectlog-utils 0.4.4
File	Size	Uploaded
affectlog_utils-0.4.4.tar.gz	20.2 kB	Oct 12, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for affectlog-utils 0.4.4
File	Interpreter	ABI	Platform	Reset
affectlog_utils-0.4.4-py3-none-any.whl 17.9 kB Oct 12, 2024	Python 3	none	any	Details

Total release size: 38.0 kB

Release files / affectlog_utils-0.4.4.tar.gz

Download URL	affectlog_utils-0.4.4.tar.gz
Size	20.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`80021da192beba0b7b57b9369bc0a987f20f656106897b4076587f24f9143180`
BLAKE2b-256 checksum How to use checksums	`b29c3bc93a14c88afb4252243595d67c110ff2fa26c100a0f1a2d9948de5e94a`
Upload date	Oct 12, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.11.10`

Release files / affectlog_utils-0.4.4-py3-none-any.whl

Download URL	affectlog_utils-0.4.4-py3-none-any.whl
Size	17.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`97e3abfd767b5edd388d08300ee68ded60af4124f0b78a57cc60914f1cd77b4b`
BLAKE2b-256 checksum How to use checksums	`196e144a6b068b9b524a98c1e1d869e452d6388991410e4d09ad540c6927e4fa`
Upload date	Oct 12, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.11.10`