| CPC G06V 30/19113 (2022.01) [G06V 30/19147 (2022.01); H04L 51/02 (2013.01)] | 20 Claims |
|
1. A method comprising:
receiving a training request, the training request including a first identifier indicative of a type of a machine learning model that is to be trained;
maintaining a plurality of training jobs in a queue of training jobs;
maintaining a plurality of workers in a training pool, wherein each worker is configured to train a particular type of machine learning model; and
responsive to the training request being validated:
creating a training job associated with the training request;
submitting the training job to the queue of training jobs;
obtaining, for each type of machine learning model, a first metric corresponding to a first number of the type of machine learning models included in the queue of training jobs;
obtaining, for each type of machine learning model, a second metric corresponding to a second number of workers included in the training pool, wherein the second number of workers are programmed to train the type of machine learning model;
computing a target metric based on the first metric and the second metric; and
modifying the second number of workers included in the training pool based on the target metric.
|