The Resource Packaging Machine Learning Models with Docker, Deza, Alfredo

Packaging Machine Learning Models with Docker, Deza, Alfredo

Label
Packaging Machine Learning Models with Docker
Title
Packaging Machine Learning Models with Docker
Statement of responsibility
Deza, Alfredo
Creator
Contributor
Author
Subject
Genre
Language
  • eng
  • eng
Summary
One of the important aspects of MLOps, also known as Machine Learning Operations or Operationalizing Machine learning, is to package ML models. How exactly do you package ML models? In this video I show you exactly what that means, and go through the process of packaging an ONNX model taken from the ONNX Model Zoo. I end up with a docker container that can be shared, exposing an API that is ready to consume and perform live predictions for sentiment analysis. Topics include: * What are the concepts behind packaging Machine Learning Models * Create a sentiment analysis API tool with Flask * Define dependencies and a Dockerfile for packaging * Create a container with an ONNX model that can be deployed anywhere with an HTTP API A few resources that are helpful if you are trying to get started with SBOMs, generating them and using them to capture vulnerabilities: * The RoBERTa ONNX Model * Schema labeling concetps for Docker containers * The Practical MLOps code respository full of examples
Characteristic
videorecording
http://library.link/vocab/creatorName
Deza, Alfredo
http://library.link/vocab/relatedWorkOrContributorName
  • Gift, Noah
  • O'Reilly Media Company
Label
Packaging Machine Learning Models with Docker, Deza, Alfredo
Link
https://databases.mvlc.org/connect/oreilly?ID=50116VIDEOPAIML
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (1 video file, approximately 37 min.)
Issuing body
Made available through: O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)50116VIDEOPAIML
System details
Mode of access: World Wide Web
Label
Packaging Machine Learning Models with Docker, Deza, Alfredo
Link
https://databases.mvlc.org/connect/oreilly?ID=50116VIDEOPAIML
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (1 video file, approximately 37 min.)
Issuing body
Made available through: O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)50116VIDEOPAIML
System details
Mode of access: World Wide Web

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      42.7009413 -71.1255084
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