AI model generation method, electronic equipment and storage medium

A model generation and model technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as generating AI models, and achieve the effect of ensuring effectiveness

Active Publication Date: 2021-06-01
深圳索信达数据技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Therefore, the existing open source model architecture cannot generate effective AI models according to the needs of different business scenarios

Method used

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  • AI model generation method, electronic equipment and storage medium
  • AI model generation method, electronic equipment and storage medium
  • AI model generation method, electronic equipment and storage medium

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Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0024] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

[0025] It should be understood that the terms used in the specification of this application are for the purpose of ...

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses an AI model generation method, electronic equipment and a storage medium, and the method comprises the steps: acquiring a target variable in a target variable threshold range in response to a first target parameter input by a user based on a scene variable analysis report; performing stratified sampling processing on the overall sample according to the target variable to obtain a sampled sample; performing data preprocessing on the samples to obtain a training sample set and a test sample set; selecting at least one preset to-be-trained model according to a second target parameter input by the user based on the business scene; and training each selected to-be-trained model through the training sample set, and testing a preset evaluation index of each trained model based on the test sample set to obtain an AI model. The to-be-trained model selected according to the service scene can be trained and tested to obtain the AI model capable of meeting the current business scene, and the effectiveness of the model can be ensured.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to an AI model generation method, electronic equipment and a storage medium. Background technique [0002] In recent years, although artificial intelligence technology has been widely developed and applied, the process of establishing an artificial intelligence model is a very complicated system engineering, which requires not only professional modelers to deeply understand the business process, but also the The algorithm is very familiar. At present, in order to reduce the complexity of modeling, many enterprises have conducted research on the modeling process. It is common to study the model algorithm part in the modeling process. Usually, an open source model architecture is encapsulated based on some model algorithms to reduce the difficulty of model establishment, but it cannot automatically complete from raw data to modeling results. This is bec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/25G06F18/214
Inventor 邓景炜
Owner 深圳索信达数据技术有限公司
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