Method and apparatus for creating a critical input space spanning set of input points to train a machine learning model for extraction

摘要

The present invention introduces novel methods of generating input vectors for machine learning system that will perform extraction. Experimental design is employed to select a set of training points that provide the best information. In one embodiment, a set of input vectors and output vectors are analyzed to determine a set of critical input parameters. Then, a spanning point generation program is used to generate a set of spanning points that cover the identified critical input space. The training point set then used to train a machine learning model.