DATASET REGRESSION BUILD

Fits a polynomial regression model on a tabular dataset, mapping one independent column to one or more dependent columns. Use this worker to build regression curves (by specifying polynomial order) for downstream surrogate modelling, correlation analysis, or data-driven response fitting.

When to use

Classification: process.

Tagged: curve_fitting, dataset, polynomial, regression, regression_build, transformations.

Inputs

Label ID Type Default Required Description
Dataset dataset dataset   Input tabular dataset (d3VIEW dataset object) containing the columns to be regressed; leave unconnected only if the dataset is supplied by an upstream worker.
Independent Column independent_column text unclassified   Name of the column to treat as the independent (predictor) variable X; defaults to ‘unclassified’ — replace with the exact column header string from the dataset.
Dependent Columns dependent_columns text   Comma-separated list of column names to treat as dependent (response) variables Y; leave blank to target all non-independent columns.
Order order scalar   Polynomial order (integer ≥ 1) for the regression fit, e.g. 1 = linear, 2 = quadratic; leave blank to apply a default order (typically 1).

Outputs

Label ID Type Description
dataset_regression_build_output_1 dataset_regression_build_output_1 keyvalue Key-value result object containing the fitted regression coefficients and goodness-of-fit metrics (e.g. R², polynomial coefficients) for each dependent column.

Disciplines

  • ai_ml.supervised.regression
  • ai_ml.surrogate
  • data.curve.transform
  • 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_build


Auto-generated from transformation schema. Worker id: dataset_regression_build. Schema hash: ca7e93ebaadc. Hand-curated docs in workerexamples/ override this page when present.