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Method and device for assisting machine learning model online

A machine learning model and model training technology, applied in the field of artificial intelligence, can solve problems such as the loss of model prediction effects and behavior changes that cannot be perceived

Pending Publication Date: 2020-08-11
THE FOURTH PARADIGM BEIJING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the offline scenario, the time when the user’s actual behavior occurs is ahead of the time when the current model predicts the decision-making, so that the behavior changes that occur within this time interval will not be perceived, and the model’s prediction effect will be lost.

Method used

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  • Method and device for assisting machine learning model online
  • Method and device for assisting machine learning model online
  • Method and device for assisting machine learning model online

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Embodiment Construction

[0052] In order to enable those skilled in the art to better understand the present invention, exemplary embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific implementation methods.

[0053] figure 1 A flow chart of a method for assisting a machine learning model to go online according to an exemplary embodiment of the present invention is shown. figure 1 The illustrated methods can be implemented entirely in software by a computer program, and can also be executed by specially configured computing devices figure 1 method shown.

[0054] see figure 1 , in step S110, obtain the model file obtained by training the machine learning model offline.

[0055] A model file obtained by training a machine learning model offline, that is, a model file obtained by performing model training in an offline environment. The training process of the machine learning model is not the focus of the present inv...

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Abstract

The invention discloses a method and a device for assisting a machine learning model to be online. The method comprises the steps of: obtaining a model file obtained by offline training a machine learning model; analyzing the model file, and determining a training data table used in a model training process; creating an online data table consistent with the table information of the training data table in an online database; and importing at least part of offline data into the online data table. Therefore, when the offline trained machine learning model is deployed on line, online data cold start can be realized by utilizing the method and the system, and support is provided for model online.

Description

technical field [0001] The present invention generally relates to the field of artificial intelligence, and more specifically, relates to a method and device for assisting machine learning models to go online. Background technique [0002] Machine learning is an inevitable product of the development of artificial intelligence research to a certain stage. It is committed to improving the performance of the system itself by means of calculation and using experience. In computer systems, "experience" usually exists in the form of "data". Through machine learning algorithms, "models" can be generated from data. Model, when faced with a new situation, the model will provide the corresponding judgment, that is, predict the result. [0003] At present, most machine learning application scenarios are offline scenarios, such as marketing list output and post-event behavior tracking. In offline scenarios, the time when the user's actual behavior occurs is ahead of the time when the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
CPCG06N20/00G06N3/105G06N3/09G06F16/2282
Inventor 周柯吉陈靓王太泽孔维
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD
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