DATASET RECONSTRUCT CURVE FROM PREDICTIONS¶
Reconstructs full curves from a set of predicted discrete points by interpolating against an original reference dataset. Supports fit, linear, and ordered interpolation strategies, with optional X-axis synchronization. Use this worker to recover time-history or spatial curves from ML model predictions that output only sampled point values.
When to use¶
Classification: process.
Tagged: curve_reconstruction, fit, interpolation, linear, ml_postprocessing, ordered, predictions, sync_x.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Original Dataset | dataset_1 | dataset | — | Original reference dataset containing the source curves used as the interpolation basis; each row should correspond to a sample and include at least the curve column specified by ‘raw_column_name’. | |
| Original Curve Column | raw_column_name | scalar | — | Name of the column in the original dataset that holds the reference curve objects or encoded curve values; must match a column present in dataset_1 (dynamically populated from dataset_1). | |
| Prediction Dataset | dataset | dataset | — | Prediction dataset whose rows contain the discrete predicted point values (columns matched by the ‘prediction_points’ prefix) that will be used to reconstruct the full curves. | |
| Prediction Points | prediction_points | scalar | Y_ | Column-name prefix (default ‘Y_’) used to identify the predicted-point columns in the prediction dataset; all columns whose names start with this prefix are treated as ordered Y-values of the reconstructed curve. | |
| Type Of Reconstruction | reconstruction_type | select | fit | Interpolation strategy for curve reconstruction: ‘fit’ applies a best-fit interpolation, ‘linear’ uses piecewise linear interpolation, and ‘ordered’ maps predicted points directly in sequence; defaults to ‘fit’. | |
| Sync X-values | sync_x_values | select | yes | Whether to synchronize the reconstructed curve’s X-axis values with those of the original reference curves (‘yes’) or use the predicted dataset’s own X coordinates (‘no’); defaults to ‘yes’. | |
| X Prediction Points | x_prediction_points | scalar | X_ | Column names that contains the x-predicted points |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| dataset_reconstruct_curve_from_predictions_output_1 | dataset_reconstruct_curve_from_predictions_output_1 | dataset | Output dataset containing one reconstructed curve per input prediction row, with X-values and interpolated Y-values combined into a curve column aligned to the original reference domain. |
Disciplines¶
- ai_ml.supervised.regression
- 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=dataset_reconstruct_curve_from_predictions
Auto-generated from transformation schema. Worker id: dataset_reconstruct_curve_from_predictions. Schema hash: c563048b0117. Hand-curated docs in workerexamples/ override this page when present.