Patent ID: 11928182
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. A computer-implemented method, comprising:
implementing a plurality of training iterations for a machine learning task, wherein a particular training iteration comprises:
selecting a batch of unlabeled records of an unlabeled data set associated with the machine learning task;
generating, using at least a portion of a labeled data set associated with the machine learning task, a first version of a stacking model from a second version of the stacking model, wherein the second version corresponds to a previous training iteration;
obtaining, from the first version of the stacking model, respective proposed labels corresponding to individual records of the batch of unlabeled records; and
generating, using the records of the batch and the respective proposed labels, respective first versions of one or more base models from second versions of the one or more base models corresponding to the previous training iteration; and

storing, after the plurality of training iterations is completed, a trained ensemble of models including the stacking model and at least one base model, wherein the trained ensemble of models is obtained from a selected iteration of the plurality of training iterations.