tapkee_benchmarks | Benchmarks and comparisons for the Tapkee library

by iglesias C Version: Current License: No License

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

kandi X-RAY | tapkee_benchmarks Summary

tapkee_benchmarks is a C library. tapkee_benchmarks has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This repository includes [a script] benchmark.py) that can be used to benchmark various implementations of dimension reduction algorithms. Currently the script supports three modes:. To run the script with some mode use python benchmark.py [mode] where mode is any of the modes listed above. This repository also includes methods availability table that can be found [here] available_methods.md).

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Support

tapkee_benchmarks has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tapkee_benchmarks is current.

Quality

tapkee_benchmarks has no bugs reported.

Security

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

License

tapkee_benchmarks 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

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

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tapkee_benchmarks Key Features

No Key Features are available at this moment for tapkee_benchmarks.

tapkee_benchmarks Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install tapkee_benchmarks

You can download it from GitHub.

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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