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Method and system for performing feature engineering for machine learning

A machine learning and feature engineering technology, applied in the field of machine learning, can solve problems such as difficulty in understanding the specific conditions of data records

Active Publication Date: 2020-09-01
THE FOURTH PARADIGM BEIJING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Exemplary embodiments of the present invention are to provide a method and system for performing feature engineering of machine learning, so as to solve the problem in the prior art that it is difficult to understand the specific situation of data records in the process of feature extraction

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  • Method and system for performing feature engineering for machine learning
  • Method and system for performing feature engineering for machine learning
  • Method and system for performing feature engineering for machine learning

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Embodiment Construction

[0051] Reference will now be made in detail to the embodiments of the present invention, examples of which are shown in the drawings, in which the same reference numerals always refer to the same components. The embodiments will be described below in order to explain the present invention by referring to the figures.

[0052] Here, 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 through computational means and using experience. In computer systems, "experience" usually exists in the form of "data". Through machine learning algorithms, "models" can be generated from data. That is to say, by providing empirical data to machine learning algorithms, it can be generated based on these empirical data The model, when faced with a new situation, the model will provide the corresponding judgment, that is, the prediction result. Whether training a machine ...

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Abstract

Provided are a method and a system for executing feature engineering for use in machine learning. The method comprises: obtaining a data table as a data source, wherein a row of the data table corresponds to a data record, and a column of the data table corresponds to a field; obtaining a configuration item for generating a feature, wherein the configuration item is used to respectively indicate the name, the extraction method, and the source field of each feature; selecting a portion of data records in the data tables; and displaying to a user a feature generation process for obtaining a feature value of a feature to be displayed according to the configuration item and on the basis of the field value of the data records portion.

Description

Technical field [0001] The present invention generally relates to the field of machine learning, and more specifically, to a method and system for performing feature engineering of machine learning. Background technique [0002] With the emergence of massive amounts of data, people tend to use machine learning techniques to dig out value from the data. [0003] The basic process of training a machine learning model mainly includes: [0004] 1. Import a data set (for example, a data table) containing historical data records or forecast data records; [0005] 2. Complete the feature engineering, in which various processes are performed on the attribute information of the data records in the data set to obtain various features, and the feature vectors formed by these features can be used as machine learning training samples or machine learning prediction samples; [0006] 3. Training the model, in which, according to the set machine learning algorithm (for example, logistic regression alg...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/26G06F16/25
CPCG06F16/254G06F16/26
Inventor 陈雨强戴文渊杨强孙迪黄亚建杨慧斌安超
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD
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