datarobot-model-explainability

Solid

Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics. Use when analyzing model explanations, feature impact, SHAP values, SHAP distributions, anomaly assessment, or diagnosing model behavior.

AI & Automation 23 stars 20 forks Updated today Apache-2.0

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Quality Score: 78/100

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Skill Content

# DataRobot Model Explainability Skill This skill covers SHAP insights, XEMP prediction explanations, anomaly explanations, and model diagnostics. > **SDK version**: Use `datarobot>=3.6.0` for the full API set in this skill (`ShapDistributions` > was added in 3.6; `ShapMatrix`, `ShapImpact`, and `ShapPreview` are available in > `datarobot>=3.4.0`). Use `from datarobot.insights import ShapMatrix, ...` with > `entity_id=model_id` — not legacy `datarobot.models.ShapMatrix` (`project_id` / `dataset_id`). > `ShapMatrix`, `ShapImpact`, `ShapPreview`, and `ShapDistributions` are the canonical SHAP API. > The older `dr.PredictionExplanations` (XEMP-based) remains available but is the secondary path. --- ## Quick Start | Goal | API to use | Prerequisites | |------|-----------|---------------| | SHAP values for all features, all rows | `ShapMatrix.create(entity_id=model_id)` | None - universal SHAP | | Per-row top-feature explanations | `ShapPreview.create(entity_id=model_id)` | None | | Aggregated feature importance via SHAP | `ShapImpact.create(entity_id=model_id)` | None | | SHAP value distributions across features | `ShapDistributions.create(entity_id=model_id)` | None | | SHAP for a filtered segment | `dr.DataSlice.create(...)` + `ShapMatrix.create(..., data_slice_id=...)` | Data slice definition | | XEMP-based prediction explanations | `dr.PredictionExplanations.create(...)` | Feature Impact; PE initialization; dataset uploaded | | Anomaly explanations (time series) | `Anoma...

Details

Author
datarobot-oss
Repository
datarobot-oss/datarobot-agent-skills
Created
7 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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