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A method and a system for realizing data table splicing and automatic training of a machine learning model

A machine learning model and data table technology, applied in the field of data processing, can solve problems such as inability to automatically perform machine learning, inability to conveniently and efficiently realize data table splicing, etc.

Active Publication Date: 2019-05-10
THE FOURTH PARADIGM BEIJING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] An exemplary embodiment of the present invention is to provide a method and system for realizing splicing of data tables, so as to solve the problem in the prior art that the splicing of data tables cannot be realized conveniently and efficiently
In addition, the exemplary embodiments of the present invention also provide a method and system for automatically training a machine learning model, so as to solve the problem in the prior art that machine learning cannot be effectively performed automatically starting from data splicing

Method used

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  • A method and a system for realizing data table splicing and automatic training of a machine learning model
  • A method and a system for realizing data table splicing and automatic training of a machine learning model
  • A method and a system for realizing data table splicing and automatic training of a machine learning model

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Embodiment Construction

[0064] 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.

[0065] figure 1 A flowchart showing a method for realizing data table splicing according to an exemplary embodiment of the present invention. Here, as an example, the method may be executed by a computer program, or may be executed by a dedicated hardware device or a collection of software and hardware resources for performing machine learning, big data calculation, or data analysis, for example, the The method can be executed by a machine learning platform for implementing machine learning-related services.

[0066] refer to figure 1 , in step S10, according to the input operation performed by the user on the screen, a primary-foreign key association relationship is es...

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Abstract

The invention provides a method and a system for realizing data table splicing and automatically training a machine learning model. The method for realizing data table splicing comprises the followingsteps of: establishing a main foreign key association relationship between any two data tables according to an input operation executed by a user in a screen; generating at least one splicing schemefor at least two data tables which are associated with each other through a main foreign key association relationship; and according to each generated splicing scheme, splicing a corresponding associated data table between the at least two associated data tables.

Description

technical field [0001] The present invention generally relates to the field of data processing, and more specifically, relates to a method and system for realizing splicing of data tables, and a method and system for automatically training machine learning models. Background technique [0002] With the emergence of massive data in various industries, various data processing needs to be performed in more and more scenarios, such as data table splicing and other processing. [0003] However, at this stage, there are few tool-based table-joining methods, which usually require programmers to write program codes to realize the rapid splicing of data tables, that is, it is necessary to master a special programming language to write program codes for table-assembling, such as , use SQL (Structured Query Language, Structured Query Language) statements to realize data table splicing by writing programs, which requires users to master SQL syntax, which requires high learning costs and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/242
Inventor 白羽萌许江谷瑞白杨
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD
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