marcotcr/lime
lime
Lime: Explaining the predictions of any machine learning classifier
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marcotcr
marcotcr • individual
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Mar 15, 2016
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LIME (Local Interpretable Model-agnostic Explanations) is a technique that explains the predictions of any machine learning classifier in an interpretable and faithful manner by learning an interpretable model locally around the prediction. It provides explanations for individual predictions by perturbing the input and seeing how the predictions change, making black-box models more transparent and trustworthy.
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Updated 1 years ago
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- Project created
- Mar 15, 2016
- Forked
- Mar 22, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Jul 25, 2024
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