Releases: Nathanlauga/transparentai
Releases · Nathanlauga/transparentai
v0.2.2
v0.2.1
v0.2.1 release of the TransparentAI's library.
Change library to match with EU Commission report on Trust AI.
Difference with previous version :
- Code has less classes and is more functionnal
- The logic is not to answer "How to create an ethical AI ?" but "Is my AI ethical ?", answering by submodules
Features :
datasets
: analyse a structured datasetmodels
: analyse classification or regression performancemodels.explainers
: understand global and local feature influence for tree and linear modelsfairness
: analyse dataset and model bias biasmonitoring
: Compare new performances with trainingutils
: check safety and compute kWh for training
PyPI link : https://pypi.org/project/transparentai/0.2.1/
v0.1.0
First release of the TransparentAI's library.
Features :
start
: start the ai by knowing if your ai is reliabledatasets
: analyse a structured datasetmodels
: analyse classification or regression performanceexplainer
: understand global and local feature influence for tree and linear modelsfairness
: analyse dataset and model bias biasmonitoring
: Compare new performances or bias with training
PyPI link : https://pypi.org/project/transparentai/0.1.0/