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alibi

Routes Alibi users to the right explanation, confidence, prototype, or optional-backend workflow and points them to the bundled helpers needed to run it.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VectorSpaceLab/AREX-Skill
설치 방법 보기

포함된 파일(39)

  • SKILL.md2.6 KB
  • references/api-reference.md4.0 KB
  • references/optional-dependencies.md1.9 KB
  • references/repo-provenance.md1.4 KB
  • references/repo-routing-metadata.json308 B
  • references/troubleshooting.md2.5 KB
  • references/workflows.md2.2 KB
  • scripts/check_optional_backends.py3.2 KB
  • scripts/core_smoke.py2.0 KB
  • sub-skills/anchors-local-explanations/references/anchor-text.md1.4 KB
  • sub-skills/anchors-local-explanations/references/api-reference.md1.9 KB
  • sub-skills/anchors-local-explanations/references/troubleshooting.md2.2 KB
  • sub-skills/anchors-local-explanations/references/workflows.md2.2 KB
  • sub-skills/anchors-local-explanations/scripts/check_spacy_model.py1.3 KB
  • sub-skills/anchors-local-explanations/scripts/smoke_anchor_image.py1.4 KB
  • sub-skills/anchors-local-explanations/scripts/smoke_anchor_tabular.py941 B
  • sub-skills/anchors-local-explanations/SKILL.md2.6 KB
  • sub-skills/attribution-and-shap/references/api-reference.md1.8 KB
  • sub-skills/attribution-and-shap/references/troubleshooting.md1.9 KB
  • sub-skills/attribution-and-shap/references/workflows.md2.2 KB
  • sub-skills/attribution-and-shap/scripts/check_optional_attribution_backends.py1.5 KB
  • sub-skills/attribution-and-shap/SKILL.md2.3 KB
  • sub-skills/confidence-prototypes-utilities/references/api-reference.md1.5 KB
  • sub-skills/confidence-prototypes-utilities/references/saving.md1.2 KB
  • sub-skills/confidence-prototypes-utilities/references/troubleshooting.md1.8 KB
  • sub-skills/confidence-prototypes-utilities/references/workflows.md2.4 KB
  • sub-skills/confidence-prototypes-utilities/scripts/smoke_confidence_prototypes.py1.8 KB
  • sub-skills/confidence-prototypes-utilities/SKILL.md2.4 KB
  • sub-skills/counterfactuals-and-similarity/references/api-reference.md3.0 KB
  • sub-skills/counterfactuals-and-similarity/references/backend-notes.md1.4 KB
  • sub-skills/counterfactuals-and-similarity/references/troubleshooting.md1.9 KB
  • sub-skills/counterfactuals-and-similarity/references/workflows.md2.6 KB
  • sub-skills/counterfactuals-and-similarity/scripts/check_optional_counterfactual_backends.py1.8 KB
  • sub-skills/counterfactuals-and-similarity/SKILL.md2.5 KB
  • sub-skills/global-tabular-explanations/references/api-reference.md2.1 KB
  • sub-skills/global-tabular-explanations/references/troubleshooting.md2.2 KB
  • sub-skills/global-tabular-explanations/references/workflows.md2.6 KB
  • sub-skills/global-tabular-explanations/scripts/smoke_global_tabular.py1.9 KB
  • sub-skills/global-tabular-explanations/SKILL.md2.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Alibi

Alibi is a Python library for model explanation, confidence scoring, prototype selection, and explanation persistence.

When to use this skill

Use this skill when a user asks how to:

  • install Alibi or choose extras
  • inspect public Alibi APIs
  • run a small reproducible Alibi workflow
  • decide which explanation family fits a task
  • diagnose MissingDependency, backend, or predictor-shape issues

First reads

  • references/workflows.md for the route map
  • references/optional-dependencies.md for extras and MissingDependency placeholders
  • references/troubleshooting.md for import, backend, and workflow failures
  • references/repo-provenance.md when checking staleness or before refresh work
  • references/api-reference.md for verified constructor signatures and return shapes

Minimal install and import

  • python -m pip install alibi
  • From a checkout: python -m pip install -e .
  • Minimal import check: python -c "import alibi; print(alibi.__version__)"
  • If the import trips over a spaCy / click issue, repair the base environment before assuming the package is broken.

Route map

sub-skills/global-tabular-explanations/

Use for ALE, partial dependence, PD variance, permutation importance, and other global tabular feature-effect workflows.

sub-skills/anchors-local-explanations/

Use for AnchorTabular, AnchorText, and AnchorImage workflows, including text sampling and image segmentation guidance.

sub-skills/attribution-and-shap/

Use for KernelShap, TreeShap, and IntegratedGradients, plus optional SHAP / TensorFlow backend selection.

sub-skills/counterfactuals-and-similarity/

Use for Counterfactual, CEM, CounterfactualProto, CounterfactualRL, and GradientSimilarity workflows.

sub-skills/confidence-prototypes-utilities/

Use for TrustScore, LinearityMeasure, ProtoSelect, and save/load round-trips.

Helper scripts

  • scripts/core_smoke.py runs a tiny CPU smoke across the base tabular workflows.
  • scripts/check_optional_backends.py reports which optional exports are placeholders and which extra enables them.

What not to do

  • Do not treat a MissingDependency placeholder as a verified runtime path.
  • Do not send users to the source checkout for docs, examples, or notebooks.
  • Do not assume optional backends are installed until the helper says so.

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