A method and apparatus for training a model

A technology for training data and classification models, applied in the field of training models, can solve problems such as not being able to meet different model training needs of users, and achieve the effect of expanding the scope of application

Inactive Publication Date: 2019-02-12
BEIJING BYTEDANCE NETWORK TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since different types of models may need to be trained under different types of machine learning frameworks, and the existing model training systems us

Method used

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  • A method and apparatus for training a model
  • A method and apparatus for training a model
  • A method and apparatus for training a model

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Embodiment Construction

[0026] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0027] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0028] figure 1 An exemplary system architecture 100 is shown to which embodiments of the method for training a model or the apparatus for training a model of the present application can be applied.

[0029] like figure 1 As shown, the system architecture 100 may include t...

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Abstract

A method and apparatus for training a model is disclosed in embodiment of the present application. One embodiment of the method includes obtaining a configuration file, wherein the configuration filecomprises a data set identification, a machine learning framework identification, a machine learning algorithm identification and parameter information; selecting data from the data set indicated by the data set identification as training data to generate a training data set; selecting the machine learning framework indicated by machine learning framework identification as the target machine learning framework from the preset set of machine learning frameworks; in the framework of target machine learning, using the machine learning algorithm to identify the indicated machine learning algorithmand the parameters indicated by the parameter information, and obtaining the classification model by training based on the training data set and the labels associated with the training data in the training data set. The embodiment enables users to select different machine learning frameworks, corresponding machine learning algorithms and parameters according to actual needs, and expands the application scope of model training.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technologies, and in particular to methods and devices for training models. Background technique [0002] As machine learning is gradually adopted by various industries, general-purpose machine learning models often cannot meet users' customized AI (Artificial Intelligence, artificial intelligence) needs. Users usually think of using specific data to customize and train their own models to suit specific scenarios, such as image classification, object detection, voice recognition, voiceprint recognition, and so on. Since different types of models may need to be trained under different types of machine learning frameworks, and the existing model training systems usually support limited machine learning frameworks, the existing model training systems generally cannot meet the different model training needs of users . Contents of the invention [0003] Embodiments of the present...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N20/00
CPCG06F18/24G06F18/214
Inventor 李文峰陈诗妮宝腾飞
Owner BEIJING BYTEDANCE NETWORK TECH CO LTD
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