II.
LibrarySkill overview
Reference · livelib-skill:data-science-ml--shap-explainer
shap-explainer overview
SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.
Attributes
displayName
shap-explainer
description
SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.
libraryPath
library/specializations/data-science-ml/skills/shap-explainer/SKILL.md
specialization
data-science-ml
contentSummary
# shap-explainer
## Overview
SHAP-based model explainability skill for feature attribution, summary plots, interaction analysis, and model interpretation.
## Capabilities
- TreeExplainer for tree-based models (XGBoost, LightGBM, Random Forest)
- DeepExplainer for neural networks
- Kern
Outgoing edges
lib_applies_to_domain1
- domain:data-science·DomainData Science
lib_belongs_to_specialization1
- specialization:data-science-ml·Specialization
lib_implements_workflow1
- workflow:ml-model-lifecycle·WorkflowML Model Lifecycle
lib_involves_role2
- role:data-scientist·RoleData Scientist
- role:ml-engineer·RoleMachine Learning Engineer
lib_requires_skill_area2
- skill-area:explainability-interpretation·SkillAreaExplainability and Interpretation
- skill-area:model-explainability-testing·SkillAreaModel Explainability Testing
Incoming edges
None.