RecQ | Python Framework for Recommender Systems | Machine Learning library

by Coder-Yu Python Version: Current License: GPL-3.0

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

kandi X-RAY | RecQ Summary

RecQ is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. RecQ has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. However RecQ build file is not available. You can download it from GitHub.

Founder: @Coder-Yu Main Contributors: @DouTong @Niki666 @HuXiLiFeng @BigPowerZ @flyxu. RecQ is a Python library for recommender systems (Supported by Python 2.7.x and Tensorflow 1.14+) in which a number of influential and newly state-of-the-art recommendation models are implemented. I suggest that users run RecQ on Linux since python 2.7.x and tensorflow 1.x are incompatible on Windows.

Support

Quality

Security

License

Reuse

Support

RecQ has a medium active ecosystem.

It has 909 star(s) with 297 fork(s). There are 69 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 78 have been closed. On average issues are closed in 28 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RecQ is current.

Quality

RecQ has no bugs reported.

Security

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

License

RecQ is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of RecQ

Get all kandi verified functions for this library.

RecQ Key Features

No Key Features are available at this moment for RecQ.

RecQ Examples and Code Snippets

No Code Snippets are available at this moment for RecQ.

Community Discussions

Trending Discussions on RecQ

supsample from list of data frames entries with "character"

QUESTION

supsample from list of data frames entries with "character"

Asked 2020-Oct-29 at 19:16

I got a list that contains 9 data frames and each data frame contains the following lines:

...

ANSWER

Answered 2020-Oct-29 at 19:16

As commented, your earlier search returns an empty data frame since the searched term is part of the larger strings in the character column, GO_NAME. Therefore, instead of == or%in% operators which expects whole word matches, consider grep to search string patterns within larger string:

Source https://stackoverflow.com/questions/64537531

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

Vulnerabilities

No vulnerabilities reported

Install RecQ

You can download it from GitHub.
You can use RecQ 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 .

Find more information at: