Published July 16, 2024
| Version
24.05.14 Private Demonstrator
Python Library
Restricted
Explainability Platform Kaa
Owner
Description
Description
Kaa is a framework allowing to apply several methods and metrics from several dedicated libraries on AI model
to verify them.
It is built around a kernel offering a text interface ( textitText-based User Interface) and hosting two sets of
plugins:
- plugins of explainability libraries called pluginsXAI
- the plugins of the textitvs explicability checkboxes called pluginsUCXAI
In this version of Kaa, the AIX360, Alibi, Captum, PAIR saliency, Shap and Xplique plugins are provided
Documentation
User Manual
User manual is available for download here.
Methodological Guidelines
Scientific Contribution
Benchmark
Application over use-case
State of the Art
Files
Files
Additional details
- Functional maturity
- Technological maturity
Trustworthy Attributes
Accountability
Engineering roles
Data Engineer
ML-Algorithm Engineer
IVVQ Engineer
Engineering activities
Use cases
NLP
Object Reidentification
Time series
Visual Inspection
Vision
Surrogate Model
Functional Set
Explainability