DATASET COMPUTE SHAP¶
Fits a surrogate model (currently linear) on the supplied dataset and computes SHAP (SHapley Additive exPlanations) feature-importance values for each input column. Use this worker to quantify how much each predictor contributes to the target response and to rank variable importance across a design space.
When to use¶
Classification: process.
Tagged: dataset, explainability, feature_importance, linear_model, sensitivity, shap, surrogate.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dataset | dataset_1 | dataset | — | Input dataset (tabular) containing both predictor and response columns; must be a d3VIEW dataset object with at least the columns named in input_column and output_column. | |
| Input Column | input_column | scalar | — | One or more column names (multi-select, drawn from dataset_1) that act as model features / independent variables for the SHAP analysis. | |
| Output Column | output_column | scalar | — | Single column name (drawn from dataset_1) that represents the target / dependent variable the surrogate model is trained to predict. | |
| Model type | model_type | scalar | liearModel | Surrogate model family used before computing SHAP values; currently only ‘linearModel’ (polynomial linear regression) is supported — leave at default unless additional model types are added. | |
| Model Params | model_params | textarea | order=1 | Key=value pairs (comma-separated, e.g. ‘order=1’) controlling model hyperparameters; ‘order’ sets the polynomial degree for the linear model — default ‘order=1’ gives a first-order linear fit. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| SHAP values | dataset_shap_1 | dataset | Tabular dataset of SHAP values, one row per observation and one column per input feature, quantifying each feature’s additive contribution to the model prediction. |
Disciplines¶
- ai_ml.prognosis
- ai_ml.surrogate
- data.statistics
- design_exploration.sensitivity
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_compute_shap
Auto-generated from transformation schema. Worker id: dataset_compute_shap. Schema hash: fb8974b938d8. Hand-curated docs in workerexamples/ override this page when present.