Training method and device based on machine learning model

A machine learning model and training method technology, applied in the field of data processing, can solve problems such as long time consumption and low accuracy

Inactive Publication Date: 2020-09-01
度小满科技(北京)有限公司
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides a training method and device based on a machine learning model to solve the problem of man

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
  • Training method and device based on machine learning model
  • Training method and device based on machine learning model
  • Training method and device based on machine learning model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein...

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 training method and device of a machine learning model. The method comprises the steps of performing single training on the current machine learning model based on each training sample; obtaining an initial feature contribution degree set of each training sample of which the training result meets a preset condition, determining a target feature contribution degree in eachinitial feature contribution degree set, wherein the target feature contribution degree in the target feature contribution degree set is greater than other feature contribution degrees in the initialfeature contribution degree set; based on each target feature contribution degree set, constructing a target training sample; and training the current machine learning model based on the target training sample. According to the training method, the target features with the large feature contribution degree are reserved in the target training sample; the influence on the training accuracy of the current machine learning model is small; and compared with manual screening, the speed is high, and the training accuracy of the model is not affected.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a training method and device based on a machine learning model. Background technique [0002] In the training process of the current machine learning model, although the redundant features in the training samples will not affect the performance of the model, it will make the computer do useless work. In the existing technology, in order to reduce the computational pressure in the training process of the machine learning model, based on thousands of features in the training process, the screening of features usually relies on manual screening. [0003] Manual screening not only takes a long time, but also the accuracy of the screening cannot be guaranteed, resulting in low accuracy of machine learning model training when the machine learning model is trained based on the filtered data. Contents of the invention [0004] In view of this, the present invention provides a ...

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): G06N20/00
CPCG06N20/00
Inventor 许庶郭灿
Owner 度小满科技(北京)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap