Method and system for processing data table and automatically training machine learning model

A machine learning model and machine learning technology, applied in the field of data processing, can solve problems such as the inability to process multiple data tables conveniently and effectively, and the inability to perform machine learning automatically, so as to reduce the threshold and improve the effect.

Pending Publication Date: 2022-05-06
THE FOURTH PARADIGM BEIJING TECH CO LTD
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Problems solved by technology

[0004] Exemplary embodiments of the present disclosure provide a method and system for processing data tables to solve the problem in the prior art that multiple data tables cannot be conveniently and effectively processed to obtain machine learning samples
In addition, the exem

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  • Method and system for processing data table and automatically training machine learning model
  • Method and system for processing data table and automatically training machine learning model
  • Method and system for processing data table and automatically training machine learning model

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Embodiment Construction

[0044] Reference will now be made in detail to embodiments of the present disclosure, 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 disclosure by referring to the figures.

[0045] figure 1 A flowchart illustrating a method for processing a data table according to an exemplary embodiment of the present disclosure. 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 data warehouse software for data storage and management, a machine learning platform for implementing machine learning-related businesses, and the like.

[0046] refer to figure 1 , in step S10, acquiring table relationship configuration in...

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Abstract

The invention provides a method and a system for processing a data table and automatically training a machine learning model. The method for processing the data tables comprises the steps that table relation configuration information about a plurality of data tables is obtained, and the table relation configuration information comprises the incidence relation between every two data tables; based on the table relationship configuration information, splicing the plurality of data tables into a basic sample table; and generating derivative features about the fields based on the fields in the basic sample table, and merging the generated derivative features into the basic sample table to form a sample table comprising a plurality of machine learning samples.

Description

technical field [0001] The present disclosure generally relates to the field of data processing, and more specifically, relates to a method and system for processing data tables, and a method and system for automatically training machine learning models. Background technique [0002] In real business environments such as online advertising, recommendation systems, financial market analysis, and medical care, data comes from a wide range of sources and is often stored in different data tables. At the same time, data such as user behavior or product transaction volume will change over time, so there is a large amount of time-series relational data. [0003] In machine learning applications, scientists with rich modeling experience need to go through continuous trial and error to construct valuable features based on multiple related data tables to improve the effect of machine learning models. Contents of the invention [0004] Exemplary embodiments of the present disclosure...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/28G06N20/00
CPCG06F16/2282G06F16/285G06N20/00G06F16/22G06F16/28G06N3/04
Inventor 王海焦英翔李文昊涂威威
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD
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