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LIME

This entry runs no foundation model. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.

Local Interpretable Model-agnostic Explanations — generates local surrogate models explaining individual predictions for any classifier, enabling stakeholders to challenge algorithmic decisions

AI, open-source
Model provenance

No foundation model. LIME does not run one, so this criterion does not apply and is excluded from the grade rather than counted against it. A local surrogate-model explainability library that perturbs inputs and fits an interpretable model around a single prediction of the user's own classifier; it contains algorithms only, with no foundation model. Established from the product’s own public documentation and what it does. If that is out of date, tell us at right of reply.

Who controls it

Not yet assessed. We publish a sovereignty position only where the vendor documents one — we do not infer it from a domain or a company name.

Compliance the vendor states
IEEE 7000EU AI Act

Taken from the vendor’s own published material. Vannus does not hold these reports and has not reviewed their scope or dates — ask the vendor for the current report before relying on any of them.

How this entry is set

Vannus records, from the vendor's own published documents, the legal entity a customer contracts with, the country that entity sits in, and the governing law of its terms — and whether the vendor runs its own model or resells someone else's. Each finding is quoted to its source and dated, or marked not disclosed where the vendor publishes nothing. No paid placements — affiliate status is walled off from the record, enforced by a test in the build. See the methodology →

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