Post-process functions refer to a set of operations or transformations applied to the output or result of an algorithm, model, or data processing pipeline. These functions can be used to refine, format, or aggregate the results to meet specific requirements or to make the output more interpretable and useful. Post-process functions are commonly used in data processing, machine learning, and data analysis workflows.
Some examples of post-process functions:
Updated 5 months ago