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Method and device for extracting metadata in machine learning task

A machine learning and metadata technology, applied in the field of cloud computing, can solve problems such as inconvenient model dissemination

Active Publication Date: 2019-07-26
XFUSION DIGITAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, other developers need to spend a lot of time building and debugging a training environment compatible with the target machine learning task in the process of reproducing the source development environment, which brings great inconvenience to the dissemination of the model

Method used

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  • Method and device for extracting metadata in machine learning task
  • Method and device for extracting metadata in machine learning task
  • Method and device for extracting metadata in machine learning task

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Embodiment Construction

[0035] The technical solution in this application will be described below with reference to the accompanying drawings.

[0036] Machine learning (machine learning, ML) is a multi-field interdisciplinary subject, specializing in the study of computer simulation or realization of human learning behavior, in order to acquire new knowledge or skills, reorganize the existing knowledge structure to continuously improve its own performance . Machine learning is the core of artificial intelligence intelligence and the fundamental way to make computers intelligent. Its application pervades all fields of artificial intelligence. The workflow of a machine learning task can include environment setup, model training process, and model inference process.

[0037] figure 1 It is a schematic block diagram of an apparatus 100 for running a machine learning task provided by an embodiment of the present application. The device 100 may include a running module 110 , a metadata extraction modul...

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Abstract

The invention provides a method for extracting metadata in a machine learning task, the method is applied to a virtualization environment, and the method comprises the following steps: running the machine learning task in the virtualization environment according to a machine learning program code input by a user; extracting metadata from the machine learning program code, wherein the metadata is used for reproducing the operation environment of the machine learning task; and storing the metadata in a first storage space. According to the technical scheme provided by the invention, in the training process of the target machine learning task, the related metadata required for reproducing a specific training environment is automatically extracted, and when other developers want to reproduce aspecific training environment, the specific training environment is reproduced according to the stored metadata, so that the propagation of the model is accelerated.

Description

technical field [0001] The present application relates to the field of cloud computing, and more specifically, to a method, device and computer-readable storage medium for extracting metadata of machine learning tasks. Background technique [0002] Machine learning (machine learning, ML) is a multi-field interdisciplinary subject, specializing in the study of computer simulation or realization of human learning behavior, in order to acquire new knowledge or skills, reorganize the existing knowledge structure to continuously improve its own performance . Machine learning is the core of artificial intelligence intelligence and the fundamental way to make computers intelligent. Its application pervades all fields of artificial intelligence. [0003] The workflow of a machine learning task can include environment setup, model training process, and model inference process. After the source developer trains a model through the above process, the trained model will be provided to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455G06F9/48G06F9/50G06N20/00
CPCG06F9/45558G06F9/4881G06F9/5016G06F9/5077G06F2009/45562G06F2009/45583G06N20/00
Inventor 刘烨东
Owner XFUSION DIGITAL TECH CO LTD