LamineTourelab/Explainable-AI
In this repository you will fine explainability of machine learning models.
This collection provides resources to understand why a machine learning model makes certain predictions. It helps you take a trained model and gain insights into its decision-making process, revealing which features influenced its output. This is for data scientists, machine learning engineers, and researchers who need to interpret and justify their models' behavior.
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Use this if you need to explain the rationale behind your machine learning model's predictions to stakeholders or for regulatory compliance.
Not ideal if you are looking for a pre-built, ready-to-deploy explainability tool without any further development or integration.
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MIT
Last pushed
Feb 17, 2023
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