Computer-executed machine learning model training method, device and equipment

A machine learning model and computer technology, applied in the computer field, can solve problems such as low model prediction accuracy

Active Publication Date: 2020-01-17
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

For scenarios where the data is constantly changing ove...

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  • Computer-executed machine learning model training method, device and equipment
  • Computer-executed machine learning model training method, device and equipment
  • Computer-executed machine learning model training method, device and equipment

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Embodiment Construction

[0038] The solutions provided in this specification will be described below in conjunction with the accompanying drawings.

[0039] Before describing the scheme provided by this specification, the inventive concept of this scheme is explained as follows.

[0040] In practice, data is constantly changing over time in various scenarios. In the scenario where the data is constantly changing, in order to improve the accuracy of model prediction, it is necessary to adjust the model in real time or in a timely manner based on the changed data. Taking Alipay's smart customer service scenario as an example, with the increasing complexity of Alipay's business and the speed of business changes, users' questions about related business issues are also in a dynamic, rapid and frequent changing trend, which requires smart customer service to be able to Perform frequent update iterations to continuously adapt to new user questions.

[0041] In order to realize real-time or timely adjustmen...

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Abstract

The embodiment of the invention provides a computer-executed machine learning model training method, device and equipment, and the method comprises the steps: obtaining incremental data in a current time period, and enabling the incremental data to serve as a training sample set; based on the training sample set, conducting incremental training on the machine learning model trained in the last time period, and obtaining an initial machine learning model. And inputting each test sample in the test sample set into the initial machine learning model to obtain a test result. And based on the testresult, determining the accuracy of the initial machine learning model. And if the accuracy is greater than the first threshold, taking the initial machine learning model as a machine learning model trained in the current time period. And if the accuracy is not greater than the first threshold, adding test samples with wrong test results in the test sample set into the training sample set to obtain an updated training sample set, and training the initial machine learning model based on the updated training sample set to obtain a machine learning model trained in the current time period.

Description

technical field [0001] One or more embodiments of this specification relate to the field of computer technology, and in particular to a computer-executed machine learning model training method, device, and equipment. Background technique [0002] With the general popularity of machine learning, various machine learning models are getting more and more attention. For a machine learning model, it is usually necessary to train it based on training data (also called training samples), and then use the trained machine learning model to perform some kind of prediction, such as category prediction. [0003] It should be noted that, in order to ensure the accuracy of the trained machine learning model, it usually needs to be trained based on a large amount of training data, which makes the training process of the model usually more complicated. Because the training process of the model is relatively complicated, in the traditional technology, the training process of the model is us...

Claims

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Application Information

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IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 张望舒温祖杰
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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