Machine learning platform and a data model optimization method based on the platform

A data model and machine learning technology, applied in database models, digital data processing, structured data retrieval, etc., can solve problems such as inability to model verification, complex data model construction, and large verification workload, to ensure validity, Easy to optimize and reduce the effect of errors

Inactive Publication Date: 2019-05-24
合肥天源迪科信息技术有限公司
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a machine learning platform and a data model optimization method based on the platform, quickly build a data model through a model building module, use a data acquisition module to obtain source data and refine it to a data model after being processed by a data processing...

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
  • Machine learning platform and a data model optimization method based on the platform
  • Machine learning platform and a data model optimization method based on the platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0031] see figure 1 As shown, the present invention is a machine learning platform, comprising: a model building module, a data acquisition module, a data processing module, a model evaluation module and a model optimization module;

[0032] The model building module includes a model building unit and a model publishing unit; the model building unit is used to build the model; the model publishing unit releases the built data model;

[0033] The data acquisition m...

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 machine learning platform and a data model optimization method based on the platform, and relates to the technical field of data model evaluation. The system comprises a model construction module, a data acquisition module, a data processing module, a model evaluation module and a model optimization module. The model construction module comprises a model construction unitand a model release unit; The model building unit is used for building a model; And the model publishing unit publishes the constructed data model. According to the invention, the data model is rapidly constructed through the model construction module; The data acquisition module is adopted to acquire the source data, the source data is processed by the data processing module and then is lifted to the data model, the effectiveness of the data entering the data model is guaranteed, model evaluation errors are reduced, and the model evaluation module evaluates the data model by outputting the confusion matrix of the model and the model accuracy, so that the optimization of the data model is facilitated.

Description

technical field [0001] The invention belongs to the technical field of data model evaluation, in particular to a machine learning platform and a data model optimization method based on the platform. Background technique [0002] With the widespread application of big data in various fields, data processing is becoming more and more important for information acquisition. In the process of data processing, different data models often have different processing effects, and the effects of using different data models for different data types are also very different. This requires evaluation of different data model applications and different types of data; this process is tedious and needs to be validated with a large amount of data. If manual operation is used, the process is complicated, difficult to observe, and the workload is large and it is difficult to achieve the desired effect. This requires the establishment of a machine learning platform for building various data mode...

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): G06F16/28G06F17/50
Inventor 陈力方进锋孔小飞徐海燕邓少宝陈国礼
Owner 合肥天源迪科信息技术有限公司
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