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

Regression model training method and device, electronic equipment and storage medium

A regression model and training method technology, applied in the field of deep learning, can solve problems such as poor flexibility, and achieve the effect of improving generalization ability

Pending Publication Date: 2021-12-17
JINGDONG TECH HLDG CO LTD
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the regression model training methods in related technologies are based on completely random sampling or stratified sampling to obtain training samples, which is less flexible.

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
  • Regression model training method and device, electronic equipment and storage medium
  • Regression model training method and device, electronic equipment and storage medium
  • Regression model training method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0043] The following describes the regression model training method, device, electronic equipment, and storage medium of the embodiments of the present application with reference to the accompanying drawings.

[0044] figure 1 It is a schematic flowchart of a regression model training method according to an embodiment of the present application.

[0045] S101. Obtain features of labeled users in the labeled sample pool and labeled label data.

[0046] It should be noted that the execution subject of the regression model tr...

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 regression model training method and device, electronic equipment and a storage medium. The training method comprises the steps of obtaining features of labeled users and labeled label data in a labeled sample pool; training to obtain a regression model according to the features of the labeled users and the label data; obtaining a corresponding query strategy according to the regression model; determining a corresponding target unlabeled user according to the query strategy; obtaining features of a target unlabeled user and labeled label data; and adding the features of the target unlabeled user and the labeled label data to the labeled sample pool. Therefore, according to the method, the corresponding target unlabeled user is determined according to the query strategy, the features of the target unlabeled user and the labeled label data are added to the labeled sample pool, and training of the regression model is realized by adopting an active learning mode; and compared with the prior art in which model training is carried out based on a training sample obtained through random sampling, the generalization ability of the model is improved.

Description

technical field [0001] The present application relates to the technical field of deep learning, and in particular to a regression model training method, device, electronic equipment and storage medium. Background technique [0002] At present, the regression model has been widely used in fields such as user characterization and enterprise decision-making. For example, the regression model can describe the user's income information based on the user's basic information, consumption records, and consumption preferences (for example, favorite products); or, the regression model can be based on the company's sales information, industry information, business status and other information to predict the registered capital of the enterprise. However, most of the regression model training methods in the related art are based on completely random sampling or stratified sampling to obtain training samples, which has poor flexibility. Contents of the invention [0003] This applicat...

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): G06Q10/06G06K9/62G06N20/00
CPCG06Q10/06393G06Q10/067G06N20/00G06F18/24323G06F18/214
Inventor 郭洋郑爱国田国刚彭南博
Owner JINGDONG TECH HLDG 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