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Feature processing method and device suitable for machine learning

A technology of machine learning and processing methods, applied in the field of financial technology, can solve problems such as the lack of unified management of the logic of feature processing, and achieve the effect of facilitating feature processing, flexible use, and improving efficiency

Pending Publication Date: 2019-09-24
WEBANK (CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a feature processing method and device suitable for machine learning, which at least solves the problem in the prior art that there is no unified management of features and the logic of feature processing

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  • Feature processing method and device suitable for machine learning
  • Feature processing method and device suitable for machine learning
  • Feature processing method and device suitable for machine learning

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Embodiment Construction

[0039] In order to make the purpose, technical solutions, and beneficial effects of the present application clearer, the following further describes the present application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the application, but not to limit the application.

[0040] In order to facilitate the understanding of the embodiments in the specification, some nouns are explained here first.

[0041] Feature engineering: The process of obtaining, sorting, and processing features that can be understood and processed by computer programs from data. The main purpose is to provide input data for training, evaluation, and prediction for machine learning.

[0042] Machine learning: Machine learning refers to the process of automatically analyzing and obtaining laws from data such as computer programs, and using the laws to predict unknown data.

[0043] Normalization: Th...

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Abstract

The invention relates to the field of financial technology, and discloses a feature processing method and device suitable for machine learning. The method comprises the following steps: after a feature processing request is obtained, constructing a feature pool according to each feature in each feature table, wherein the feature table is at least composed of a feature list, a feature library, a dependency feature table, a service and feature processing logic, the feature list comprises at least one feature, the dependency feature table is used for recording other feature tables having dependency relationships with the feature tables, and the feature processing request comprises features needing to be processed; determining a feature dependency relationship according to the to-be-processed feature and each feature in the feature pool, and determining a feature processing path according to the feature dependency relationship; and performing feature processing according to the feature processing path. The features in the database are stored in the form of a feature table, the feature table comprises a plurality of features and processing logics of the features, and feature processing is facilitated.

Description

Technical field [0001] The present invention relates to the technical field of financial technology (Fintech), and in particular to a feature processing method and device suitable for machine learning. Background technique [0002] With the development of computer technology, more and more technologies are applied in the financial field. The traditional financial industry is gradually changing to Finteh. Feature processing technology is no exception. However, due to the security and real-time requirements of the financial industry, It also places higher demands on technology. [0003] Feature engineering is the process of transforming original data into features. These features can better describe potential problems to the predictive model, thereby improving the accuracy of the model for unseen data. Hive data warehouse storage features are usually used in the prior art, and the data warehouse can provide SQL processing features and the ability to store features. However, in the ...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/28
CPCG06F16/2282G06F16/284
Inventor 兰冲
Owner WEBANK (CHINA)
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