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
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  • 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

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  • 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

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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...

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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

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Application Information

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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
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