GENERATES A GENERIC NUMERIC PARAMATERS

Generates a synthetic dataset of numeric parameters by creating one or more named columns filled with a configurable number of uniformly-distributed values within a specified range. Use it to quickly scaffold parameter tables for DOE setups, surrogate training, or pipeline testing without external data.

When to use

Classification: process.

Tagged: dataset_generation, doe_scaffold, numeric_parameters, parameter_table, synthetic_data.

Inputs

Label ID Type Default Required Description
Column Prefixes columns text param   Comma-separated column-name prefixes (e.g. ‘param’ or ‘x,y,z’); each prefix becomes one parameter column in the output dataset — defaults to ‘param’.
Number Of Parameters Per Column num_items text 10   Number of parameter rows to generate per column (integer ≥ 1); defaults to 10.
Min Parameter Value min_value text 0   Minimum numeric value for the generated parameter range (inclusive, dimensionless); defaults to 0.
Max Parameter Value max_value text 1   Maximum numeric value for the generated parameter range (inclusive, dimensionless); defaults to 1.
Default Parameter Value default_value text 0   Fallback value assigned to parameters when no random or computed value is applicable; defaults to 0.

Outputs

Label ID Type Description
Parameters dataset_gp_ds dataset Tabular dataset where each column is named after the supplied prefix(es) and contains ‘num_items’ numeric values bounded by [min_value, max_value].

Disciplines

  • ai_ml.preprocessing
  • data.dataset.transform
  • design_exploration.doe

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_generate_numeric_parameters


Auto-generated from transformation schema. Worker id: dataset_generate_numeric_parameters. Schema hash: 83e284934207. Hand-curated docs in workerexamples/ override this page when present.