Patent ID: 11915104
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. One or more non-transitory computer-accessible storage media storing program instructions that when executed on or across one or more processors of one or more computer systems cause the one or more computer systems to:
receive a client request to train a machine learning model on computing resources provided by a machine learning service the client request specifying a resource constraint or a time constraint for training the machine learning model;
generate at least a first additional attribute for individual ones of a plurality of records of a first data set, wherein the first additional attribute is generated based at least in part on a second attribute of the first data set selected based at least in part on a first statistical relationship between the second attribute and a prediction target attribute of the first data set, wherein the generation is performed based on the resource or time constraint specified by the client request, and wherein the generation reduces a size of the first data set used for training and reduce a memory footprint of the training;
identify, using the first additional attribute, a portion of the first data set to use as a training data set to train the machine learning model;
execute a machine learning process on the one or more computer systems to train the machine learning model using the portion of the training data set, wherein the machine learning process programmatically tunes parameters of the machine learning model using the records of the first data set; and
execute the machine learning model on one or more other records to obtain one or more predictions of the prediction target attribute for the one or more other records, wherein the one or more predictions are obtained using values of the first additional attribute generated for the one or more other records.