Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Machine learning model servitization method, device, storage medium and program product

A machine learning model and service module technology, applied in the field of artificial intelligence, can solve problems such as high development cost, low development efficiency, slow service update iteration, etc., and achieve the effect of improving development efficiency

Active Publication Date: 2021-09-28
BEIJING BAIDU NETCOM SCI & TECH CO LTD
View PDF11 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, using a static language framework such as C++ to encapsulate and deploy the trained model as an HTTP service has high development costs, slow service update iterations, and low development efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Machine learning model servitization method, device, storage medium and program product
  • Machine learning model servitization method, device, storage medium and program product
  • Machine learning model servitization method, device, storage medium and program product

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0028] The disclosure provides a method, device, storage medium, and program product for machine learning model service, which relate to the field of artificial intelligence, specifically computer vision and deep learning technology, and can be used in infrastructure scenarios to implement machine learning model services. While improving the security of machine learning...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a machine learning model servitization method, a device, a storage medium and a program product, relates to the field of artificial intelligence, in particular to a computer vision and deep learning technology, and can be specifically used in an infrastructure scene. According to the specific implementation scheme, the service framework comprises a service module implemented by using a dynamic programming language and a model processing module implemented by using a static programming language, and the service module implemented by using the dynamic programming language realizes upper-layer functions such as data receiving, data preprocessing, data post-processing, result returning and the like; the model processing module realized through the static programming language realizes the functions of authentication and the like related to the machine learning model, so that service development is facilitated, the safety of data related to the machine learning model is ensured, the risk of data leakage is reduced, the data safety is improved, the development period is shortened, and the development efficiency is improved.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence, in particular to computer vision and deep learning technologies, which can be used in infrastructure scenarios, and in particular to a method, device, storage medium, and program product for machine learning model service. Background technique [0002] Machine learning model training usually uses dynamic programming languages ​​such as python to serve the trained machine learning model, that is, when the machine learning model of the training number is packaged into an HTTP service when it goes online, for performance, security, encryption, etc. The function needs to use a statically compiled language such as C++ to encapsulate the model. However, using a static language framework such as C++ to encapsulate and deploy the trained model as an HTTP service has high development costs, slow service update iterations, and low development efficiency. Contents of the invention [0003]...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/20G06F8/30G06N20/00
CPCG06F8/20G06F8/31G06N20/00
Inventor 李永博王晖刘洋王亚男曹璨
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com