The README demonstrates global model explanations, local prediction explanations and comparison of explanation objects.
Inspect the evidence ↘GOVERNATLAS / PRODUCT DOSSIER
InterpretML
InterpretML documents tools for fitting interpretable models and explaining black-box machine-learning systems.
THE DOCUMENTED SCOPE
What the current evidence describes.
Source-attributed capabilities and limits. Inspect the full record before drawing a conclusion.
Its listed black-box explanation methods include SHAP Kernel Explainer, LIME, sensitivity analysis and partial dependence.
Inspect the evidence ↘InterpretML documents training glassbox models, including Explainable Boosting Machines, decision trees and linear or logistic regression.
Inspect the evidence ↘01 / CONTEXT & SCOPE
Understand the proposition.
Define the boundary.
The decision to make
Separate an interpretable model fitted with the package from a post-hoc explanation of a different model. The explanation contract, preprocessing and validation responsibility differ. A global model view also cannot explain every individual workflow decision without the served input, output and downstream rule.
What this record does not establish
Documented interpretability methods and example benchmark tables do not establish causal effects, fair decisions or equivalent accuracy in a buyer environment. Any privacy variant and its assumptions require separate review.
1 current source · 4 published assertions
Source coverage is a research boundary, not a quality score.
Source coverage is a research boundary, not a quality score.
02 / YOUR EVALUATION
Turn interest into a useful trial.
A
A test worth running
Fit or inspect a small synthetic additive routing model in an authorized environment, then retain a local explanation and a global summary. Change one preprocessing field in a separate diagnostic and show which artifact no longer matches the served configuration. Review a surprising case without relying on the aggregate view.
GovernAtlas editorial proposal. We have not performed this test.
B
Evidence to bring back
- A model-versus-explainer/preprocessing/output-scale manifest.
- A local/global comparison with a deliberately mismatched configuration identified.
THE OPERATING DETAIL
Know which model the explanation belongs to.
GovernAtlas analysis: practical review considerations, not findings from a product test.
03 / DOCUMENTED EVIDENCE
Read the claim. Inspect the basis.
Each statement retains its classification and preserved source. A vendor assertion is not an independent test result.
first party asserted
The README demonstrates global model explanations, local prediction explanations and comparison of explanation objects.
Source, dates & preserved provenance
InterpretML — primary scope and current identity ↗Authority: first party
Observed 2026-10-16 · Reviewed 2026-10-16 · current until 2026-11-15
Artifact SHA-256: 1b5ee328c74ae38f117095a92e2d05b2122d2da3c19a73c928dbe849f89d3b7d
The hash identifies the preserved capture. The live source may have changed.
first party asserted
Its listed black-box explanation methods include SHAP Kernel Explainer, LIME, sensitivity analysis and partial dependence.
Source, dates & preserved provenance
InterpretML — primary scope and current identity ↗Authority: first party
Observed 2026-10-16 · Reviewed 2026-10-16 · current until 2026-11-15
Artifact SHA-256: 1b5ee328c74ae38f117095a92e2d05b2122d2da3c19a73c928dbe849f89d3b7d
The hash identifies the preserved capture. The live source may have changed.
first party asserted
InterpretML documents training glassbox models, including Explainable Boosting Machines, decision trees and linear or logistic regression.
Source, dates & preserved provenance
InterpretML — primary scope and current identity ↗Authority: first party
Observed 2026-10-16 · Reviewed 2026-10-16 · current until 2026-11-15
Artifact SHA-256: 1b5ee328c74ae38f117095a92e2d05b2122d2da3c19a73c928dbe849f89d3b7d
The hash identifies the preserved capture. The live source may have changed.
first party asserted
InterpretML documents tools for fitting interpretable models and explaining black-box machine-learning systems. Scope: primary documentation only; no independent model test, fairness determination, causal finding or compliance approval.
Source, dates & preserved provenance
InterpretML — primary scope and current identity ↗Authority: first party
Observed 2026-10-16 · Reviewed 2026-10-16 · current until 2026-11-15
Artifact SHA-256: 1b5ee328c74ae38f117095a92e2d05b2122d2da3c19a73c928dbe849f89d3b7d
The hash identifies the preserved capture. The live source may have changed.
Source register
InterpretML — primary scope and current identity ↗first party · captured 2026-10-16
Brand asset provenance
Organization identity asset from its official website; inclusion does not imply endorsement.
Official website ↗ · Original asset ↗04 / BEFORE YOU COMMIT
Better questions.
A clearer decision.
Resolve these with the provider and your own evaluation team.
Can you provide a model-versus-explainer/preprocessing/output-scale manifest for the selected configuration?
Can you provide a local/global comparison with a deliberately mismatched configuration identified for the selected configuration?
Which exact version, entitlements, data paths and responsible roles apply?
Regulatory applicability requires a separate, current determination. Inclusion is not certification.
KEEP THE RECORD USEFUL
A dossier should stand up to scrutiny.
Have a source that changes this picture? Submit it for editorial review.