An execution is a recorded instance of a machine learning workflow step, such as data ingestion, validation, training, evaluation, or deployment. It usually captures runtime parameters and metadata needed for traceability and reproducibility.
An execution is a record of an individual machine learning workflow step, typically annotated with its runtime parameters. Examples of executions include data ingestion, data validation, model training, model evaluation, and model deployment.