Method and system for executing machine learning process

Abstract

The invention provides a method and a system for executing a machine learning process. The method comprises the steps of (A) displaying a graphic interface used for configuring a machine learning task to a user and detecting input operation executed through the graphic interface by the user, wherein the machine learning task is used for executing data processing comprised in the machine learning process; (B) configuring the machine learning task according to the detected input operation executed through the graphic interface by the user; and (C) inferring data attribute information related to the machine learning task under the condition of not executing the configured machine learning task, wherein the data attribute information comprises a name and / or a data type of a data attribute field. Correspondingly, the data attribute information of each stage in the machine learning process can be effectively obtained with relatively few resources and relatively short time, so that the operability of a machine learning tool is improved.

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 executing a machine learning process. Background technique [0002] With the emergence of massive data, artificial intelligence technology has developed rapidly, among which machine learning technology is generally used to mine beneficial value from massive data records (such as financial data, Internet data, etc.), [0003] However, a major problem in the application of artificial intelligence technology is the lack of effective and easy-to-use machine learning tools. Many existing machine learning platforms are only for users who are proficient in machine learning technology. Data and complex data operations, therefore, it is difficult for even a user who is proficient in machine learning technology to effectively operate current machine learning tools. In fact, it takes a lot of time and energy to train technica...

AI Technical Summary

Problems solved by technology

[0010] Exemplary embodiments of the present invention aim to overcome the defect in the prior art that data attribute information cannot be acquired in a timely and effective manner when executing a machine learning process

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