lof_k_value | Determining the Strong Outliers by setting a range to the k-value of Local Outlier Factor

by bunyaminergen Python Version: Current License: No License

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kandi X-RAY | lof_k_value Summary

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

Determining the Strong Outliers by setting a range to the k-value of Local Outlier Factor.

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Support

lof_k_value has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of lof_k_value is current.

Quality

lof_k_value has no bugs reported.

Security

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

License

lof_k_value 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

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

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

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lof_k_value Key Features

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lof_k_value Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install lof_k_value

You can download it from GitHub.
You can use lof_k_value 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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