C.5: SHapley Additive exPlanation (SHAP): Difference between revisions
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• '''Reference, URL''': https://github.com/slundberg/shap | • '''Reference, URL''': https://github.com/slundberg/shap | ||
• ''' | • ''''''Applicable Business Category''': Research | ||
• '''Application in relevant Projects/Initiatives''': N.A. | • '''Application in relevant Projects/Initiatives''': N.A. | ||
• '''Type''': Framework | • '''Asset Type''': Other, Framework | ||
• '''AI Breadth''': | • '''AI Breadth''': Machine Learning | ||
• '''Learning Ability''': Deep Learning | • '''Learning Ability''': Deep Learning | ||
• '''Related technologies''': | • '''Related technologies''': N.A. | ||
• '''Applicable Research Area''': Explainable AI | |||
• '''Applicable Technical Category''': MAchine Learning | |||
• '''License Information''': MIT license | • '''License Information''': MIT license | ||
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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