Target data classification method and device, storage medium and electronic device

A target data, target classification technology, applied in the computer field, can solve problems of high complexity

Active Publication Date: 2018-07-27
TENCENT TECH (SHENZHEN) CO LTD
View PDF13 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a classification method, device, storage medium, and electronic device for target data, so as to at lea

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Target data classification method and device, storage medium and electronic device
  • Target data classification method and device, storage medium and electronic device
  • Target data classification method and device, storage medium and electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0023] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a target data classification method and device, a storage medium and an electronic device. The method comprises the following steps that: obtaining a model file, wherein the model file is used for storing the file of a target model, and the target model is a model which is obtained by training sample data and used for executing task classification; extracting a plurality ofdata features, classification conditions and classification results with a corresponding relationship from the model file, converting the plurality of data features, classification conditions and classification results with the corresponding relationship into a plurality of functions with conform to a target format, and generating a target script file; and on the basis of the target script file,classifying the target data. By use of the method, the technical problems in the relevant art that complexity is high when a classification model processes a large scale of data classification tasks are solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a classification method, device, storage medium and electronic device for target data. Background technique [0002] The existing methods for classifying data usually use modeling tools to train sample data to obtain a model, then back up the model to a local computer to generate a local model file, and use the prediction function in the model file to classify the unclassified data sort. Although this method solves a part of the data classification problem, since the operation of the trained model file depends on the running environment built for model training, if the model file needs to be applied to other devices, it is necessary to rebuild the complex system on other devices. The operating environment, which leads to the trained classification model is only suitable for classification of local data, but can not perform large-scale classification tasks. [0003] For the abov...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62
CPCG06F18/241
Inventor 王世伟韩萌龙锦就
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products