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

Method and system of feature engineering for execution machine learning

A feature engineering and machine learning technology, applied in the field of machine learning, can solve problems such as difficult to understand the specific situation of data records

Active Publication Date: 2018-06-29
THE FOURTH PARADIGM BEIJING TECH CO LTD
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Exemplary embodiments of the present invention are to provide a method and system for performing feature engineering of machine learning, so as to solve the problem in the prior art that it is difficult to understand the specific situation of data records in the process of feature extraction

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 of feature engineering for execution machine learning
  • Method and system of feature engineering for execution machine learning
  • Method and system of feature engineering for execution machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] 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.

[0052] 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

Provided is a method and system of feature engineering for execution machine learning. The method comprises the steps that (A), a data table taken as a data source is obtained, one line of the data table corresponds to a data record, wherein one row of the data table corresponds to a field; (B), a configuration item used for generating a feature is obtained, wherein the configuration item is usedfor respectively indicating a name, extraction method and source field of each feature; (C), a part of the data in the data table is selected to be recorded; (D), a feature generative process of a feature value of a to-be-displayed feature obtained on the basis of a field value in the part of the data record according to the configuration item is displayed to a user. The method and system of the feature engineering for the execution machine learning have the advantages that the user can conveniently and visually know the feature generative process, and the problems occur in the feature generative process can be known by the user.

Description

technical field [0001] The present invention generally relates to the field of machine learning, and more particularly, to a method and system for performing feature engineering for machine learning. Background technique [0002] With the emergence of massive data, people tend to use machine learning techniques to mine value from the data. [0003] The basic process of training a machine learning model mainly includes: [0004] 1. Import a data set (for example, a data table) containing historical data records or forecast data records; [0005] 2. Complete feature engineering, in which various features are obtained by performing various processing on the attribute information of the data records in the data set, and the feature vectors formed by these features can be used as machine learning training samples or machine learning prediction samples; [0006] 3. Training model, wherein, according to the set machine learning algorithm (for example, logistic regression algorith...

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): G06F17/30
CPCG06F16/254G06F16/26
Inventor 陈雨强戴文渊杨强孙迪黄亚建杨慧斌安超
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