PREDICT FROM SAVED MATHMODEL¶
Loads a previously saved math model (ML model persisted in the d3VIEW platform) and runs inference against a supplied dataset, returning predictions alongside LUCY ML diagnostics. Use this worker whenever a trained model needs to be applied to new input data within a workflow.
When to use¶
Tagged: inference, lucy, mathmodel, ml, predict, scoring.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Mathmodel | mathmodel_id | remote_lookup | — | Reference to the saved math model to use for inference; selected via the remote lookup widget keyed to ‘remote_lookup_mathmodels’ — leave null to resolve dynamically from an upstream worker. | |
| Dataset | dataset | dataset | — | ✓ | Input dataset whose rows will be scored; column schema must match the feature schema the math model was trained on (validated at runtime against mathmodel_id). |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Mathmodel | mathmodel_id | integer | Integer identifier of the math model that was used for prediction, passed through for downstream traceability. |
| LUCY JSON | lucy_json | json | Raw LUCY ML JSON response containing stdout, diagnostics, and the full inference payload; useful for debugging or extracting additional model metadata. |
| Meta Info | meta_info | dataset | Dataset containing auxiliary metadata returned by the LUCY ML engine (e.g., model version, run statistics, feature importances if available). |
| Predicted Dataset | dataset | dataset | Predicted dataset where each row from the input is annotated with its model-predicted value(s); row IDs are preserved from the input dataset. |
Disciplines¶
- ai_ml.supervised.classification
- ai_ml.supervised.regression
- ai_ml.surrogate
Auto-generated from platform schema. Worker id: mathmodel_predict. Schema hash: 256726b51dac. Hand-curated docs in workerexamples/ override this page when present.