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

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 an association relationship based on association fields between any two data tables according to an input operation which is executed by a user in a screen and is used for establishing the association relationship between the data tables based on the association fields; according to an input operation which is executed by a user in the screen and is used for specifying theassociation relationship between the fields in the data table and the primary keys and / or the types of the fields, setting the association relationship between the fields in the data table and the primary keys and / or the types of the fields; and splicing a corresponding associated data table between at least two data tables which are associated with each other through the association relationshipbased on the association fields based on the association relationship between the fields in the data tables and the primary keys and / or the types of the fields.

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, and programmers are usually required to write program codes to realize the fast splicing of data tables. For this reason, programmers need to master a special programming language to write programs for table-assembling Code, for example, using SQL (Structured Query Language, Structured Query Language) statements to realize data table splicing by writing programs, the learning cost is relatively high, and the technical threshold...

AI Technical Summary

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

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