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Model Documentation →
Tools for documenting model architecture, training data, performance metrics, and limitations.
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Decision Explanation →
LIME, SHAP, counterfactual explanations, and feature importance visualization.
Model Card Template
# Model Card
model_name: "Example Model"
version: "1.0.0"
purpose: "Classification task"
architecture: "Transformer"
performance:
- accuracy: 0.95
- f1_score: 0.94
limitations:
- "Limited to English text"
- "May exhibit bias for..."Explanation Example
from transparency import Explainer
explainer = Explainer(model)
explanation = explainer.explain(input_data)