Prediction model training method and apparatus for a new scene

A predictive model and new scenario technology, applied in the field of Internet applications, can solve problems such as long time and poor effect

Active Publication Date: 2019-02-19
ADVANCED NEW TECH CO LTD
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Problems solved by technology

[0003] However, in some scenarios, it often takes a long time to accumulate sample data and train the model to realize the deployment of the machine learning model. For example, the data accumulation and training of the risk control model generally takes more than half a year
In this regard

Method used

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  • Prediction model training method and apparatus for a new scene
  • Prediction model training method and apparatus for a new scene
  • Prediction model training method and apparatus for a new scene

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[0026] In order for those skilled in the art to better understand the technical solutions in the embodiments of this specification, the technical solutions in the embodiments of this specification will be described in detail below in conjunction with the drawings in the embodiments of this specification. Obviously, the described implementation Examples are only some of the embodiments in this specification, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this specification shall fall within the scope of protection.

[0027] The embodiment of this specification provides a prediction model training method for new scenarios, see figure 1 As shown, the method may include the following steps:

[0028] S101. Obtain a set of models to be migrated;

[0029] Due to the differences between the new scene and the old scene, some of the models deployed in the old scene may not be suitable for the new scene, and some may ...

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Abstract

A prediction model training method and apparatus for a new scene are disclosed. A prediction model training method for a new scene, the method comprising: obtaining a set of models to be migrated; Selecting at least one model from the set of models to be migrated for predictive labeling of unlabeled samples in a new scene; Obtaining an initial training sample set in the new scene; Using the selected model,adding the prediction tags to the untagged samples in the initial training sample set. Based on the supervised learning algorithm, the model to be migrated is updated by using the initial training sample set to which the prediction label has been added, and the model suitable for the new scene is obtained.

Description

technical field [0001] The embodiments of this specification relate to the field of Internet application technologies, and in particular to a method and device for training a prediction model for new scenarios. Background technique [0002] In the era of big data, models can be trained through machine learning based on accumulated sample data to achieve the required decision-making functions. For example, in the financial risk control scenario, a large amount of transaction data can be used as sample data to train the risk control model through machine learning, so that the trained risk control model can be used to automatically make risk decisions for new transactions. [0003] However, in some scenarios, it often takes a long time to accumulate sample data and train the model to implement the deployment of the machine learning model. For example, the data accumulation and training of the risk control model generally takes more than half a year. In this regard, one solutio...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06N99/00
CPCG06Q10/06375
Inventor 张天翼陈明星郭龙
Owner ADVANCED NEW TECH CO LTD
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