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MLOps Academy · Lesson

Explain Predictions with SHAP

Attribute each output to its input features.

Why Explain a Prediction

Stakeholders rarely accept a number with no reason. Explainability shows which inputs drove a single output. 💡

What SHAP Is

SHAP assigns each feature a value showing how much it pushed one prediction up or down from a baseline.

All lessons in this course

  1. The Four Pillars of ML Observability
  2. Log Predictions for Later Analysis
  3. Slice Metrics by Segment and Cohort
  4. Explain Predictions with SHAP
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