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

Method and system for generating combined feature of machine learning sample

A technology of combining features and machine learning, applied in the field of artificial intelligence, to achieve the effect of improving user experience and improving effect

Active Publication Date: 2018-03-06
THE FOURTH PARADIGM BEIJING TECH CO LTD
View PDF8 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] An exemplary embodiment of the present invention is to provide a method and system for generating combined features of machine learning samples, so as to solve the problem in the prior art that automatic feature combination cannot be conveniently performed in machine learning systems

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 system for generating combined feature of machine learning sample
  • Method and system for generating combined feature of machine learning sample
  • Method and system for generating combined feature of machine learning sample

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like numerals refer to like parts throughout. The embodiments are described below in order to explain the present invention by referring to the figures.

[0044] Here, machine learning is an inevitable product of the development of artificial intelligence research to a certain stage. It is dedicated to improving the performance of the system itself by means of calculation and using experience. In computer systems, "experience" usually exists in the form of "data". Through machine learning algorithms, "models" can be generated from data. Model, when faced with a new situation, the model will provide the corresponding judgment, that is, predict the result. Whether training a machine learning model or making predictions using a trained machine learning model, the data needs to be converted into machine learning samples inclu...

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

A method and system for generating a combined feature of a machine learning sample are provided. The method includes the steps of (A) acquiring unit features that can be combined; (B) providing a userwith a graphical interface for setting a feature combination configuration option that is used for defining how to perform feature combination among the unit features; (C) receiving an input operation performed by the user on the graphical interface in order to set the feature combination configuration option, and acquiring the feature combination configuration option set by the user according tothe input operation; and (D) combining the features to be combined in the unit features based on the acquired feature combination configuration option to generate a combined feature of a machine learning sample. According to the invention, the user only needs to set the related configuration option for defining how to perform feature combination through the interactive interface, then the automatic feature combination can be realized, the user experience is improved, and the effect of the machine learning model is also enhanced.

Description

technical field [0001] The present invention generally relates to the field of artificial intelligence, and more specifically, relates to a method and system for generating combined features of machine learning samples. Background technique [0002] At this stage, the basic process of training a machine learning model mainly includes: [0003] 1. Import a dataset (for example, a data table) containing historical data records; [0004] 2. Complete feature engineering, wherein various features are obtained by performing various processing on the attribute information of the data records in the data set (for example, may include combined features), and the feature vectors formed by these features can be used as machine learning samples; [0005] 3. Training the model, wherein, according to the set machine learning algorithm (for example, logistic regression algorithm, decision tree algorithm, neural network algorithm, etc.), the model is learned based on the machine learning s...

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): G06N99/00G06K9/62
CPCG06N20/00G06F18/253
Inventor 戴文渊杨强陈雨强张舒羽栾淑君孙迪
Owner THE FOURTH PARADIGM BEIJING 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