GNG-Yelp | Using Growing Neural Gas to cluster Yelp users

by rrshaban Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | GNG-Yelp Summary

GNG-Yelp is a Python library. GNG-Yelp has no bugs, it has no vulnerabilities and it has low support. However GNG-Yelp build file is not available. You can download it from GitHub.

To run our program, call "python parse.py", which will load the user and restaurant data and construct the growing neural gas network. The system will then ask for a user ID to input, whereupon it will recommend users to follow (in the form of user ID's as provided by Yelp), and restaurants to try (in the form of restaurant ID's provided by Yelp). A couple of user IDs you can enter to test are: x1qmBwKEOFCaGiYxs6ppRw and 8syjbjJRkzxK9RUaKewUr. If you'd like to try others, it is probably easiest to copy and paste the user IDs of users the system recommends for the above user IDs.

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GNG-Yelp has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

GNG-Yelp has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GNG-Yelp is current.

Quality

GNG-Yelp has 0 bugs and 0 code smells.

Security

GNG-Yelp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

GNG-Yelp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

GNG-Yelp does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

GNG-Yelp releases are not available. You will need to build from source code and install.

GNG-Yelp has no build file. You will be need to create the build yourself to build the component from source.

It has 23943 lines of code, 1867 functions and 176 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed GNG-Yelp and discovered the below as its top functions. This is intended to give you an instant insight into GNG-Yelp implemented functionality, and help decide if they suit your requirements.

Print a progress bar .
Optimizes the contrast matrix
Set configuration .
Train a single node using a single phase .
Display training data .
Trace BIFlow training .
Train a node .
Computes the pseudoigenvectors of A and B .
Wrap scikits_classifier .
Writes data to HTML file .

Get all kandi verified functions for this library.

GNG-Yelp Key Features

No Key Features are available at this moment for GNG-Yelp.

GNG-Yelp Examples and Code Snippets

No Code Snippets are available at this moment for GNG-Yelp.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install GNG-Yelp

You can download it from GitHub.
You can use GNG-Yelp like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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