Interpretation information acquisition method and device, server and storage medium

A technology for acquiring method and feature information, applied in the field of machine learning, can solve the problems of narrow use range of machine learning models and low reliability of complex machine learning models, and achieve the effect of widening the use range and high reliability

Pending Publication Date: 2020-03-06
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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Problems solved by technology

Used to solve the problem of low confidence in complex machine learnin

Method used

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  • Interpretation information acquisition method and device, server and storage medium
  • Interpretation information acquisition method and device, server and storage medium
  • Interpretation information acquisition method and device, server and storage medium

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Embodiment Construction

[0053] In order to make the purpose, technical solution and advantages of the present disclosure clearer, the implementation manners of the present disclosure will be further described in detail below in conjunction with the accompanying drawings.

[0054] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0055] With the research and progress of artificial intelligence technology, artificial intelligence (AI) technology has been researched a...

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Abstract

The invention provides an interpretation information acquisition method and device, a server and a storage medium, and belongs to the technical field of machine learning. The interpretation information acquisition method comprises the steps of determining target feature information and an adjustment amount in first input data to adjust the first input data; comparing the second output data corresponding to the adjusted second input data with the first output data; and determining an influence degree of target feature information on the first output data, and determining interpretation information of the first output data obtained by the first input data through the first machine learning model according to the influence degree through the first input data, the first output data, the secondinput data and the second output data. By determining the influence of the feature information of the first input data on the output data, the first machine learning model is automatically interpreted and attributed, so that the credibility of the result generated by the first machine learning model is higher, and the application range of the machine learning model is widened.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning, and in particular to a method, device, server and storage medium for acquiring explanation information. Background technique [0002] A machine learning model can be established through machine learning technology, and input data can be input into the machine learning model, and output data corresponding to the input data can be directly output. With the development of machine learning technology, machine learning algorithms are becoming more and more complex, and machine learning models created based on machine learning algorithms are also becoming more and more complex, making it difficult for users to understand the logic of machine learning models to obtain output data based on input data, resulting in confusion. Distrust of machine learning models. Therefore, it is necessary to obtain the explanation information of the machine learning model, and explain the logic of the m...

Claims

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Application Information

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IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 郑博黄巩怡陈培炫陈谦
Owner TENCENT TECH (SHENZHEN) CO LTD
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