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Unsupervised model evaluation method, device, server and readable storage medium

An evaluation device, unsupervised technology

Active Publication Date: 2020-05-26
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But training a machine learning model takes more data and time

Method used

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  • Unsupervised model evaluation method, device, server and readable storage medium
  • Unsupervised model evaluation method, device, server and readable storage medium
  • Unsupervised model evaluation method, device, server and readable storage medium

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Embodiment Construction

[0024] In order to better understand the above technical solutions, the technical solutions of the embodiments of this specification will be described in detail below through the drawings and specific examples. It should be understood that the embodiments of this specification and the specific features in the embodiments are the technical solutions of the embodiments of this specification. It is a detailed description, rather than a limitation to the technical solutions of this specification. In the case of no conflict, the embodiments of this specification and the technical features in the embodiments can be combined with each other.

[0025] In the first aspect, the embodiment of this specification provides an unsupervised model evaluation method, such as figure 1 As shown, the flow chart of the unsupervised model evaluation method provided by the embodiment of this description, the method includes the following steps:

[0026] Step S11: Determine S node vectors correspondin...

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Abstract

The invention discloses an unsupervised model evaluation method, device, server and readable storage medium. In the unsupervised model evaluation method, the S nodes are determined from the N node vectors obtained through the unsupervised model. Corresponding S node vectors, determine the neighbor nodes of each node in the S nodes, and the non-neighbor nodes of each node, and make each node similar to the vector of neighbor nodes degree as a positive sample, and the vector similarity between each node and non-neighboring nodes as a negative sample, the effect of the unsupervised model is determined by evaluating the positive and negative samples, no additional model training is required, so that The evaluation process for unsupervised models is much easier to implement.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an unsupervised model evaluation method, device, server and readable storage medium. Background technique [0002] With the continuous development of science and technology, unsupervised learning algorithms have been widely used. The unsupervised learning model can calculate the graph data, map each node in the graph data to a vector space, and obtain the calculated node vector. When evaluating the calculated node vectors, a supervised algorithm is usually used for evaluation, and then a machine learning model is trained. But training a machine learning model takes more data and time. Contents of the invention [0003] Embodiments of this specification provide an unsupervised model evaluation method, device, server, and computer-readable storage medium. [0004] In the first aspect, the embodiment of this specification provides an unsupervised model evaluation method, incl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 林建滨
Owner ADVANCED NEW TECH CO LTD