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Visual generation method and equipment for machine learning model

A technology of machine learning models and equipment, applied in machine learning, computing models, instruments, etc., to achieve the effect of shortening the cycle

Inactive Publication Date: 2020-04-21
东方微银科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the object of the present invention is to propose a method and device for visually generating a machine learning model to solve how to quickly and effectively generate a set of machine learning models

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  • Visual generation method and equipment for machine learning model
  • Visual generation method and equipment for machine learning model
  • Visual generation method and equipment for machine learning model

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Embodiment Construction

[0048]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0049] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present invention shall have the usual meanings understood by those skilled in the art to which the present disclosure belongs. "First", "second" and similar words used in the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. "Comprising" or "comprising" and similar words mean that the elements, objects or method steps appearing before the word cover the elements, objects or method steps listed after the word and their equivalents, without excluding other elements, objects or method steps. Method steps.

[0050] As mentio...

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Abstract

The invention discloses a visual generation method and equipment for a machine learning model. The method comprises the steps: displaying at least one node assembly on a display device, and enabling the node assemblies to be in one-to-one correspondence with operators forming the machine learning model; responding to a dragging instruction of a user for the node component, moving the node component into a view window of the display device, and generating a selected node component; responding to a selection operation of a user, judging a connection mode selected by the user, judging whether theselected node component corresponds to other selected node components or not according to the connection mode, and if so, generating a connection component and connecting at least two corresponding selected node components through the connection component to obtain a process view; and generating a machine learning model according to the process view. By applying the technical scheme of the invention, a user can realize full-process and end-to-end model construction without deeply understanding algorithm principles and technical details, so that the process of code definition modeling is omitted, and the period from model development to application is greatly shortened.

Description

technical field [0001] The invention relates to the field of computer modeling, in particular to a method and device for visually generating a machine learning model. Background technique [0002] Today's society is in the era of breakthroughs in artificial intelligence. With the re-emergence of artificial intelligence, the term machine learning has also entered the public's field of vision. It has become the core cornerstone for solving many artificial intelligence problems. To put it simply: machine learning is to use computer programs to simulate human learning ability, and learn knowledge and experience from practical examples. Machine learning is a branch of artificial intelligence and a method of realizing artificial intelligence. It learns knowledge and rules from sample data, and then uses them for practical inference and decision-making. A significant difference between it and ordinary programs is that it requires sample data and is a data-driven method. Therefor...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06K9/62
CPCG06N20/00G06F18/24323
Inventor 邸宏鸣王钒骁
Owner 东方微银科技股份有限公司
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