Modeling method and device for machine learning, storage medium and processor

A technology of machine learning and modeling methods, which is applied in the field of data processing, can solve problems such as long time consumption, achieve the effects of reducing time consumption, shortening training time, and improving pre-training efficiency

Pending Publication Date: 2021-06-29
GUANGDONG BOZHILIN ROBOT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a machine learning modeling method, device, storage medium, and processor, to at least solve the technical problem that the machine learning platform consumes a long time for data pre-training in the prior art

Method used

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  • Modeling method and device for machine learning, storage medium and processor
  • Modeling method and device for machine learning, storage medium and processor
  • Modeling method and device for machine learning, storage medium and processor

Examples

Experimental program
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Effect test

Embodiment 1

[0030] According to an embodiment of the present invention, an embodiment of a machine learning modeling method is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0031] This application proposes a general platform for AI services, which can perform the following steps in this embodiment. figure 1 is a flow chart of a machine learning modeling method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0032] Step S102, acquiring training data.

[0033] Specifically, the above training data can be uploaded to the AI ​​service general platform in advance. The above training data may come from a da...

Embodiment 2

[0125] According to an embodiment of the present invention, an embodiment of a machine learning modeling device is provided. Figure 7 is a schematic diagram of a machine learning modeling device according to an embodiment of the present invention, such as Figure 7 As shown, the device includes:

[0126] Obtaining module 70, for obtaining training data;

[0127] The creating module 72 is used to generate a plurality of task nodes in turn, and create a workflow according to the task nodes, each workflow corresponds to a task model, wherein, each time a task node is generated, the task nodes before the current task node are pre-processed Training, the pre-training data used for pre-training is extracted from the training data according to the data type of the training data, and the data type includes: continuous variables and discrete variables;

[0128] The training module 74 is configured to train the training data based on the task model corresponding to the workflow.

[...

Embodiment 3

[0138] According to an embodiment of the present invention, a storage medium is provided, the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the machine learning modeling method described in Embodiment 1 .

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Abstract

The invention discloses a modeling method and device for machine learning, a storage medium and a processor. The method comprises the following steps: collecting training data; a plurality of task nodes are generated in sequence, workflows are created according to the task nodes, each workflow corresponds to a task model, the task nodes before the current task node are pre-trained every time one task node is generated, and the task nodes before the current task node are pre-trained. Pre-training data used for pre-training is extracted from the training data according to the data type of the training data, and the data type comprises a continuous variable and a discrete variable; and training the training data based on the task model corresponding to the workflow. The technical problem that in the prior art, time consumed by data pre-training of a machine learning platform is long is solved.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a machine learning modeling method, device, storage medium and processor. Background technique [0002] With the advent of the era of big data and artificial intelligence, the scale of AI applications continues to increase, and AI applications are essentially various application systems developed using machine learning and deep learning modeling. In recent years, with the continuous improvement of computing power and the continuous development of open source technology, machine learning modeling has also made continuous breakthroughs in efficiency. Traditional offline code writing, model training, hyperparameter debugging, model deployment, etc. are gradually replaced by online machine learning platforms. Major cloud service providers have also successively launched machine learning platform products. [0003] However, the number of data sets currently used for training i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06K9/62G06F8/61
CPCG06N20/00G06F8/63G06F18/214
Inventor 刘敏易猛吴文杰
Owner GUANGDONG BOZHILIN ROBOT CO LTD
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