MARank | order Attentive Ranking Model for Sequential Recommendation | Recommender System library

by voladorlu Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | MARank Summary

MARank is a Python library typically used in Artificial Intelligence, Recommender System, Pytorch applications. MARank has no bugs, it has no vulnerabilities and it has low support. However MARank build file is not available. You can download it from GitHub.

Multi-order Attentive Ranking Model for Sequential Recommendation. "python src/marank.py -prit -gpu -data data/xxx.rating -lf f -reg 0.0005 -ei 10 -mi 300".

Support

Quality

Security

License

Reuse

Support

MARank has a low active ecosystem.

It has 25 star(s) with 5 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MARank is current.

Quality

MARank has 0 bugs and 0 code smells.

Security

MARank has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

MARank code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MARank 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

MARank releases are not available. You will need to build from source code and install.

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

MARank saves you 343 person hours of effort in developing the same functionality from scratch.

It has 822 lines of code, 39 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Perform fold out of the given triplets .
Train the model .
Argument parser .
Compute the new evaluation .
Extract the triplet data from train ratings .
Fold train ratings
Generate a new dynampler .
Leaves one out of each user .
Compute the alias for the given probabilities .
Write the contents of the folder to a folder

Get all kandi verified functions for this library.

MARank Key Features

No Key Features are available at this moment for MARank.

MARank Examples and Code Snippets

No Code Snippets are available at this moment for MARank.

Community Discussions

Trending Discussions on MARank

Implementing singleton mongDB DB object in NodeJS application

QUESTION

Implementing singleton mongDB DB object in NodeJS application

Asked 2018-May-08 at 17:19

Currently working on a backend in nodeJS which uses express,socket.io, and has MongoDB as its database. I read that it is a good practice to implement a singleton DB connection which is to be reused in the entire application. I tried to implement this didn't find a solution yet. I tried to use this SO answer of go-oleg.

I replicated the first part, the external mongoUtil.js file like this:

...

ANSWER

Answered 2018-May-08 at 17:19

Ok... so, this is could be using a bit of outdated use of Mongo, but this is how I managed to solve the singleton piece of the DB. Disclaimer: it was a personal learning project for Mongo and Ecmascript 6.0 so not sure it follows the Best practices, but it works.

Fist, Db Connection: personnaDB.js

Source https://stackoverflow.com/questions/50238708

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

Vulnerabilities

No vulnerabilities reported

Install MARank

You can download it from GitHub.
You can use MARank 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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