Amazon Technologies, Inc.

Jennifer Yuen

Rahul Gupta

Melanie C B Gens

Sachin Midha

Wael Hamza

Xinhong Zhang

Md Humayun Arafat

Dewan Muhammed Ibtesham

Jwala Dhamala

Techniques for tuning parameters for machine learning models are described. Different values for a parameter are tested to determine the value that results in an optimized model. A parameter value may be selected for testing using a search algorithm based on how the model performs with respect to other values for the parameter. Different values may be tested until a stopping criterion (such as time for testing, number of trials, amount of enhancement in performance, etc.) is met. In some embodiments, the techniques may be used to determine parameter values for natural language processing models.

Model configuration

Growing community of inventors

Seattle, WA, United States of America

Jennifer Yuen