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

Method and device for scheduling machine learning algorithm tasks

A machine learning and algorithm technology, applied in the computer field, can solve the problems of no monitoring mechanism, no periodicity, lack of notification timeliness, etc., to achieve the effect of efficient notification and reduction of labor costs

Inactive Publication Date: 2018-10-09
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing manual operation of algorithm tasks cannot meet the needs of periodic or regular operation of algorithm tasks in actual business scenarios
In addition, the running cycle of the algorithm task cannot be customized, requiring a large amount of manpower to run periodically or regularly, and the labor cost is high
In addition, there is no monitoring mechanism, and it is necessary to pay attention to the operation results, data and other information all the time, and the operation and maintenance cost is high.
As a result, it is impossible to know the operation status of the algorithm task and the operation result data in a timely manner, and the information such as the operation result of the algorithm task lacks the timeliness of notification

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
  • Method and device for scheduling machine learning algorithm tasks
  • Method and device for scheduling machine learning algorithm tasks
  • Method and device for scheduling machine learning algorithm tasks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention 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 invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0052] figure 1 is a method for scheduling machine learning algorithm tasks according to an embodiment of the present invention, such as figure 1 As shown, the method for scheduling machine learning algorithm tasks includes:

[0053] Step S101, acquire the executed algorithm task and the operation rule information of the algorithm task.

[0054] In an embodiment, before...

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 discloses a method and device for scheduling machine learning algorithm tasks, and relates to the technical field of computers. A specific implementation manner of the method includes the steps of acquiring an executed algorithm task and running rule information of the algorithm task; encapsulating parameter information corresponding to the algorithm task and monitoring alarm configuration information; according to operating rule information of the algorithm task, performing the encapsulated algorithm task; saving a running log executed by the encapsulated algorithm task, and presenting the execution state and execution result information of the encapsulated algorithm task. The method achieves periodic scheduling of the machine learning algorithm tasks and ensures the timeliness of execution results.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for scheduling machine learning algorithm tasks. Background technique [0002] In the era of the fourth retail revolution, artificial intelligence (AI) will become an important technical means to improve retail services. Machine learning is an important part of machine algorithms. Improving the efficiency of machine learning is very important to improving the accuracy of algorithm models. Realizing periodic execution of task scripts is an important way to improve machine learning, so it has great significance and value . Among them, the artificial intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. [0003] In the course of realizing the present invention, the inventor finds that there are at least the following problems in...

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
IPC IPC(8): G06F9/48G06N99/00
CPCG06F9/4881
Inventor 吕延猛王瑶王霞陈倩倩冯玉敏孙志梅孙荣章王科马泽国李跃李宽姬广滕刘永和
Owner BEIJING JINGDONG SHANGKE INFORMATION 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