LS-OPT COMBINE

Merges LS-OPT baseline and iteration compiled-value datasets by joining them on a shared parameters dataset and applying a user-selected arithmetic operation (add, subtract, multiply, or divide) between a baseline objective column and an iteration objective column to produce a new combined column. Use this worker to consolidate multi-iteration LS-OPT optimization results into a single dataset for downstream surrogate training or sensitivity analysis.

When to use

Tagged: baseline, column_math, combine, compiled_values, dataset_merge, iteration, ls-opt, lsopt.

Inputs

Label ID Type Default Required Description
Parameters parameters dataset — ✓ Dataset of LS-OPT design parameters (one row per design point) used as the common join key when merging baseline and iteration results.
Baseline Results baseline_results dataset — ✓ Dataset of compiled response/objective values from the LS-OPT baseline run; must share parameter identifiers with the parameters dataset.
Iteration Results iteration_results dataset — ✓ Dataset of compiled response/objective values from one or more LS-OPT iteration runs; must share parameter identifiers with the parameters dataset.
Baseline Objective baseline_column text — ✓ Name of the column in the baseline results dataset that holds the objective or response value to be used in the arithmetic operation.
Baseline Objective iterative_column text — ✓ Name of the column in the iteration results dataset that holds the objective or response value to be paired with the baseline column in the arithmetic operation.
New Objective new_column text — ✓ Name assigned to the newly computed column in the combined output dataset (result of applying column_math between baseline_column and iterative_column).
Column Math column_math text — ✓ Arithmetic operation to apply between baseline_column and iterative_column values; choose one of: add, subtract, multiply, or divide.

Outputs

Label ID Type Description
Combined dataset combined_dataset dataset Merged dataset containing the original parameters, baseline and iteration response columns, and the newly computed objective column derived from the selected arithmetic operation.

Disciplines

  • data.dataset.transform
  • design_exploration.optimization

Auto-generated from platform schema. Worker id: lsopt_combine_compiled_values. Schema hash: 4a402f8e549b. Hand-curated docs in workerexamples/ override this page when present.