USING PREDICTED VALUES FROM ML, RE-CONSTRUCT A CURVE BY INTERPOLATING FROM CURVES USED IN TRAINING¶
Given a set of training curves and ML-predicted scalar values, reconstructs a new curve by interpolating across the training curve group at the predicted points. Use this worker to materialise a curve prediction produced by an upstream regression or surrogate model.
When to use¶
Classification: process.
Tagged: curve_group, curve_reconstruction, interpolation, ml_prediction, surrogate, transformations.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curve Group | curvegroup | vector | — | Collection of training curves (vector/curve-group format) from which the reconstructed curve is interpolated; must contain the curves that were used during ML model training. | |
| prediction_points | prediction_points | string | — | JSON-serialised or comma-separated string of ML-predicted scalar values (e.g. feature coordinates) that define the interpolation point within the training curve space; leave empty if not yet available from an upstream model. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| curves_reconstruct_from_prediction_output_1 | curves_reconstruct_from_prediction_output_1 | vector | Reconstructed curve obtained by interpolating the training curve group at the supplied prediction points; format matches the input curve-group vector type. |
Disciplines¶
- ai_ml.supervised.regression
- ai_ml.surrogate
- data.curve.pair
- data.curve.transform
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curves_reconstruct_from_prediction
Auto-generated from transformation schema. Worker id: curves_reconstruct_from_prediction. Schema hash: 8f1b94be9764. Hand-curated docs in workerexamples/ override this page when present.