C.5: SHapley Additive exPlanation (SHAP): Difference between revisions

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• '''Short Description''':  
• '''Short Description''':  
XAI framework to provide model-agnostic local explainability for tabular, image, and text datasets.


• '''Reference, URL''': https://github.com/slundberg/shap


• '''Reference, URL''':  
• ''''''Applicable Business Category''': Research


• '''Relevant Domain/Industry''': Research
• '''Application in relevant Projects/Initiatives''': N.A.


• '''Application in relevant Projects/Initiatives''':  
• '''Asset Type''': Other, Framework


• '''Type''':  
• '''AI Breadth''': Machine Learning


• '''AI Breadth''':  
• '''Learning Ability''': Deep Learning


• '''Learning Ability''':
• '''Related technologies''': N.A.


• '''Related technologies''':
• '''Applicable Research Area''': Explainable AI


• '''License Information''':  
• '''Applicable Technical Category''': MAchine Learning


• '''Related to circularity and sustainability''':  
• '''License Information''': MIT license


• '''Audience''':  
• '''Related to circularity and sustainability''': No
 
• '''Audience''': Developers





Latest revision as of 10:30, 27 December 2024

Short Description: XAI framework to provide model-agnostic local explainability for tabular, image, and text datasets.

Reference, URL: https://github.com/slundberg/shap

• 'Applicable Business Category: Research

Application in relevant Projects/Initiatives: N.A.

Asset Type: Other, Framework

AI Breadth: Machine Learning

Learning Ability: Deep Learning

Related technologies: N.A.

Applicable Research Area: Explainable AI

Applicable Technical Category: MAchine Learning

License Information: MIT license

Related to circularity and sustainability: No

Audience: Developers



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