slope_one | finds users with the smallest cosine distance from the host

by momja Python Version: Current License: No License

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

kandi X-RAY | slope_one Summary

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

finds users with the smallest cosine distance from the host

Support

Quality

Security

License

Reuse

Support

slope_one has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

slope_one has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of slope_one is current.

Quality

slope_one has no bugs reported.

Security

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

License

slope_one 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

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

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

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slope_one Key Features

No Key Features are available at this moment for slope_one.

slope_one Examples and Code Snippets

No Code Snippets are available at this moment for slope_one.

Community Discussions

No Community Discussions are available at this moment for slope_one.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install slope_one

You can download it from GitHub.
You can use slope_one 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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