Ping Tsai Lin

US Patent:

20220230462, Jul 21, 2022

Filed:

Jan 7, 2022

Appl. No.:

17/570804

Inventors:

- Redwood Shores CA, US
Suman Mallapura Somasundar - Sunnyvale CA, US
Vishal Vishnoi - Redwood City CA, US
Xinwei Zhang - Redwood City CA, US
Ping L. Lin - Foster City CA, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06V 30/19

Abstract:

A training request including an identifier that is indicative of a type of a machine learning (ML) model that is to be trained is received. A plurality of workers are maintained in a training pool, and a plurality of jobs are maintained in a queue of training jobs. Each worker is configured to train a particular type of ML model. Upon the training request being validated, a training job is created for the request and submitted to the queue of training jobs. For each type of ML model, a first metric and a second metric is obtained. A target metric is computed based on the first and the second metrics. The number of workers included in the training pool is modified based on the target metric.

Address:

9811 Talleyran Dr, Austin, TX 78750

VIN:

2CNDL13FX76006044

Make:

CHEVROLET

Model:

EQUINOX

Year:

2007