Landing AI (20240412094). TUNING HYPERPARAMETERS FOR POSTPROCESSING OUTPUT OF MACHINE LEARNING MODELS
TUNING HYPERPARAMETERS FOR POSTPROCESSING OUTPUT OF MACHINE LEARNING MODELS
Organization Name
Inventor(s)
Jonathan Roncancio of Bogota (CO)
Mark William Sabini of River Edge NJ (US)
TUNING HYPERPARAMETERS FOR POSTPROCESSING OUTPUT OF MACHINE LEARNING MODELS
This abstract first appeared for US patent application 20240412094 titled 'TUNING HYPERPARAMETERS FOR POSTPROCESSING OUTPUT OF MACHINE LEARNING MODELS
Original Abstract Submitted
a system performs tuning of hyperparameters used for postprocessing of outputs of machine learning models. the system initializes a population of vectors representing values of postprocessing hyperparameters. the system repeatedly modifies the population by adding and removing members of the population. a fitness metric is used to identify vectors that are removed from the population. the system selects a vector from the population of vectors based on the fitness metric values and uses the values of postprocessing hyperparameters from the vector for postprocessing output of the machine learning model.
