DATASET REGRESSION PREDICT¶
Applies a previously trained regression meta-model to a new dataset and returns the predicted values as an additional column. Use this worker to score unseen data with any regression surrogate or ML model trained upstream in the workflow.
When to use¶
Classification: process.
Tagged: dataset, inference, meta-model, predict, regression, scoring, surrogate.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dataset | dataset | dataset | — | Input dataset (tabular) containing the feature columns required by the trained model; must match the column schema used during training. | |
| Meta-Model | meta-model | keyvalue | — | Serialized regression meta-model (key-value bundle) produced by an upstream training worker; contains model parameters, feature names, and scaler state. | |
| New Column Name | new_column_name | text | — | Optional display name for the predictions column appended to the output dataset; defaults to the target column name used during training if left blank. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| dataset_regression_predict_output_1 | dataset_regression_predict_output_1 | keyvalue | Augmented dataset (key-value) identical to the input dataset with one additional column containing the regression model’s predicted values. |
Disciplines¶
- ai_ml.supervised.regression
- ai_ml.surrogate
- data.dataset.transform
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_regression_predict
Auto-generated from transformation schema. Worker id: dataset_regression_predict. Schema hash: 1a49eae1d5ef. Hand-curated docs in workerexamples/ override this page when present.