DATASET GET COLUMN WITH NOISE¶
Extracts one or more columns from a dataset and adds synthetic Gaussian noise to the values. Use this worker when you need to augment or perturb data for robustness testing, Monte Carlo sampling, or training-set diversification.
When to use¶
Classification: process.
Tagged: augmentation, column_extraction, dataset, noise, perturbation, synthetic_data.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dataset | dataset_1 | dataset | — | Input dataset from which the target column(s) will be extracted; accepts any tabular dataset available in the workflow context. | |
| Column Name | column_name | scalar | — | Name(s) of the column(s) to extract and perturb; supports multiple selections that are dynamically populated from the connected dataset. | |
| Noise Factor | noise_factor | scalar | 20 | Controls the amplitude of the injected noise — noise magnitude is inversely proportional to this value (default 20); increase for subtler noise, decrease for stronger perturbation. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Dataset with Noise | dataset_with_noise | dataset | Tabular dataset containing the extracted column(s) with synthetic noise applied to each value. |
Disciplines¶
- ai_ml.preprocessing
- 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_get_column_with_noise
Auto-generated from transformation schema. Worker id: dataset_get_column_with_noise. Schema hash: 953604a10470. Hand-curated docs in workerexamples/ override this page when present.