US 12,223,402 B2
Cloud based machine learning
Eric Buehl, Santa Monica, CA (US); Jordan Hurwitz, Marina del Rey, CA (US); Sergey Tulyakov, Marina del Rey, CA (US); and Shubham Vij, Los Angeles, CA (US)
Assigned to Snap Inc., Santa Monica, CA (US)
Filed by Snap Inc., Santa Monica, CA (US)
Filed on May 11, 2022, as Appl. No. 17/741,614.
Application 17/741,614 is a continuation of application No. 16/147,105, filed on Sep. 28, 2018, granted, now 11,334,815.
Prior Publication US 2022/0405637 A1, Dec. 22, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 67/10 (2022.01); G06F 9/445 (2018.01); G06N 20/00 (2019.01)
CPC G06N 20/00 (2019.01) [G06F 9/44505 (2013.01); H04L 67/10 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, using one more processors of a machine, a request to initiate one or more containers to run on a container platform, the request identifying a machine learning scheme parameter file that specifies model data for a machine learning model, platform parameters, and job-specific configurations for the one or more containers;
converting the machine learning scheme parameter file into a configuration file using a mapping template, the configuration file comprising the platform parameters and job-specific configurations native to the container platform;
initiating the one or more containers on the container platform with the configuration file by translating the model data into platform parameters native to the container platform; and
storing output data generated by the one or more containers.