Learning model for predicting regression and implementation method

A learning model, learning and training technology, applied in the field of machine learning, can solve problems such as poor data processing effect of massive enterprises, and achieve the effect of poor solution effect

Inactive Publication Date: 2019-08-02
企家有道网络技术(北京)有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The main purpose of this application is to provide a learning model and implementation method for predictive regress

Method used

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  • Learning model for predicting regression and implementation method
  • Learning model for predicting regression and implementation method
  • Learning model for predicting regression and implementation method

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Embodiment Construction

[0028] In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only The embodiments are part of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the scope of protection of the present application.

[0029] It should be noted that the terms "first", "second", etc. in the description and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable un...

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Abstract

The invention discloses a learning model for predictive regression and an implementation method. The model comprises a similarity calculation module used for carrying out similarity calculation on target enterprise data input into the model to obtain similar enterprises; a scoring module used for scoring the similar enterprises and screening out similar enterprises in preset interval scores; and an output module used for outputting a preset processing result of the similar enterprises in the preset interval score. The technical problem that experts or consulting institutions are poor in effectof processing mass enterprise data is solved. The health diagnosis and development prediction result of the unknown target enterprise can be generated according to the similar enterprise track. In addition, the method is suitable for a scene of predicting and diagnosing enterprise development in the industry through a machine learning model.

Description

technical field [0001] The present application relates to the field of machine learning, and in particular, to a learning model for predictive regression and an implementation method. Background technique [0002] Predictive analysis of enterprise development usually requires the help of experts or consulting agencies to analyze and diagnose massive data and obtain prediction results of enterprise development. [0003] The inventor found that it would be difficult for traditional machine learning to diagnose and identify known or unknown enterprises when there is a lack of massive data of enterprises. Further, continuous iteration of enterprise data is not possible. [0004] For the problem that experts or consulting agencies in related technologies are not effective in processing massive enterprise data, no effective solutions have been proposed yet. SUMMARY OF THE INVENTION [0005] The main purpose of this application is to provide a learning model for predictive regr...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06K9/62G06N3/08
CPCG06Q10/04G06Q10/06375G06N3/08G06F18/214
Inventor 常兴龙
Owner 企家有道网络技术(北京)有限公司
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