DATASET CREATE ML SIMULATIONS

Transforms a tabular dataset into a set of ML simulation task records by mapping designated name, input, and task columns. Use this worker to prepare structured simulation datasets for downstream ML learning workflows in d3VIEW.

When to use

Classification: process.

Tagged: dataset_transform, lucy_ml, ml_simulations, simulation_prep, task_creation.

Inputs

Label	ID	Type	Default	Required	Description
Dataset	dataset_1	dataset	—		Source tabular dataset containing simulation records; must include columns for simulation name, input parameters, and task definitions.
Solver type	solver_type	scalar	lucy_ml_learn_task		Internal solver/task-type identifier string; defaults to ‘lucy_ml_learn_task’ and should only be changed if targeting a different ML task backend.
Simulation name column	sim_name	scalar	—		One or more dataset column names that uniquely identify each simulation run (multi-select driven by dataset_1 columns).
Input col	input_col	text	—		Dataset column name(s) that hold the input parameter values to be passed to the ML model; selected from dataset_1 columns.
Task col	task_col	text	—		Dataset column name that specifies the ML task label or target for each simulation row; selected from dataset_1 columns.

Outputs

Label	ID	Type	Description
Simulations	dataset_create_ml_simulations_from_dataset_o1	dataset	Transformed dataset of structured ML simulation task records, ready for ingestion by a downstream ML learning or surrogate-model worker.

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_create_ml_simulations

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Auto-generated from transformation schema. Worker id: dataset_create_ml_simulations. Schema hash: 8c7e6b03f086. Hand-curated docs in workerexamples/ override this page when present.